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Journal articles on the topic 'Shadows'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

George, Sam. "Vampires, Demons and the Disappearing Shadow in Folkloric Fictions of the Long Nineteenth Century." Gothic Studies 22, no. 1 (2020): 31–48. http://dx.doi.org/10.3366/gothic.2020.0036.

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This article interrogates manifestations of the shadow soul, combining anthropological, magical and religious approaches to the shadow in an analysis of a small group of interrelated Gothic texts. It enters the shadowy worlds of Peter Schlemihl, protagonist of Hans Andersen's ‘The Shadow’, Dracula, and Peter Pan, who, on being detached from their shadows, have themselves become shades. This journey into the kingdom of shadows will uncover the folkloric demon, the vampire, the physiognomist, the satyr, the pagan Pan, and the Devil himself. To read these narratives through Frazer's The Golden Bo

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Xu, Jiamin, Zelong Li, Yuxin Zheng, et al. "OmniSR: Shadow Removal Under Direct and Indirect Lighting." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 8 (2025): 8887–95. https://doi.org/10.1609/aaai.v39i8.32961.

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Shadows can originate from occlusions in both direct and indirect illumination. Although most current shadow removal research focuses on shadows caused by direct illumination, shadows from indirect illumination are often just as pervasive, particularly in indoor scenes. A significant challenge in removing shadows from indirect illumination is obtaining shadow-free images to train the shadow removal network. To overcome this challenge, we propose a novel rendering pipeline for generating shadowed and shadow-free images under direct and indirect illumination, and create a comprehensive synthetic

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Ibarra-Arenado, Manuel José, Tardi Tjahjadi, and Juan Pérez-Oria. "Shadow Detection in Still Road Images Using Chrominance Properties of Shadows and Spectral Power Distribution of the Illumination." Sensors 20, no. 4 (2020): 1012. http://dx.doi.org/10.3390/s20041012.

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A well-known challenge in vision-based driver assistance systems is cast shadows on the road, which makes fundamental tasks such as road and lane detections difficult. In as much as shadow detection relies on shadow features, in this paper, we propose a set of new chrominance properties of shadows based on the skylight and sunlight contributions to the road surface chromaticity. Six constraints on shadow and non-shadowed regions are derived from these properties. The chrominance properties and the associated constraints are used as shadow features in an effective shadow detection method intend

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Yasutomi, Suguru, Tatsuya Arakaki, Ryu Matsuoka, et al. "Shadow Estimation for Ultrasound Images Using Auto-Encoding Structures and Synthetic Shadows." Applied Sciences 11, no. 3 (2021): 1127. http://dx.doi.org/10.3390/app11031127.

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Acoustic shadows are common artifacts in medical ultrasound imaging. The shadows are caused by objects that reflect ultrasound such as bones, and they are shown as dark areas in ultrasound images. Detecting such shadows is crucial for assessing the quality of images. This will be a pre-processing for further image processing or recognition aiming computer-aided diagnosis. In this paper, we propose an auto-encoding structure that estimates the shadowed areas and their intensities. The model once splits an input image into an estimated shadow image and an estimated shadow-free image through its

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5

Casati, Roberto. "Some varities of shadow illusions: Split shadows, occluded shadows, stolen shadows, and shadows of shadows." Perception 41, no. 3 (2012): 357–60. http://dx.doi.org/10.1068/p7156.

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Casati, Roberto. "Some Varieties of Shadow Illusions: Split Shadows, Occluded Shadows, Stolen Shadows, and Shadows of Shadows." Perception 41, no. 3 (2012): 357–60. http://dx.doi.org/10.1068/p7156web.

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Zhang, Guichen, Daniele Cerra, and Rupert Müller. "Shadow Detection and Restoration for Hyperspectral Images Based on Nonlinear Spectral Unmixing." Remote Sensing 12, no. 23 (2020): 3985. http://dx.doi.org/10.3390/rs12233985.

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Shadows are frequently observable in high-resolution images, raising challenges in image interpretation, such as classification and object detection. In this paper, we propose a novel framework for shadow detection and restoration of atmospherically corrected hyperspectral images based on nonlinear spectral unmixing. The mixture model is applied pixel-wise as a nonlinear combination of endmembers related to both pure sunlit and shadowed spectra, where the former are manually selected from scenes and the latter are derived from sunlit spectra following physical assumptions. Shadowed pixels are

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Sharma, Nazuk. "Luxury implications of showcasing a product with its “cast” shadow." Journal of Consumer Marketing 33, no. 7 (2016): 507–16. http://dx.doi.org/10.1108/jcm-06-2016-1847.

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Purpose This paper aims to investigate the role of showcasing a product with its cast shadow (formed in the ad’s background by the advertised product) on consumer product perceptions. Design/methodology/approach Three experimentally designed studies, incorporating two product categories, demonstrate the impact of visual presentation of a product with its shadow on consumer evaluations. A total of 203 participants (MTurkers, and student respondents at a southern university) provided data for these studies through questionnaires (online as well as paper-pencil formats). Findings Findings reveal

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Kropáček, Jan. "Detection and Enhancement of Shaded Areas in the High Resolution Satellite Data." Geografie 109, no. 4 (2004): 304–13. http://dx.doi.org/10.37040/geografie2004109040304.

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New high-resolution satellite data (IKONOS, QUickBird, SPOT5 and Eros) enable mapping in more detailed scales. The size of shadows is not of the order of pixel size any more. Misclassification of shadows in a high-resolution satellite image may lead to a shift of border between classes even by 30 meters. Shadows were grouped into five groups according to the shadowed surface and the type of the elevated object. Spectral analysis of these groups has been conducted and a simple method for detection of shaded areas has been proposed. This method utilizes map algebra. Shadows on vegetation and non

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Trees, Victor J. H., Ping Wang, Piet Stammes, Lieuwe G. Tilstra, David P. Donovan, and A. Pier Siebesma. "DARCLOS: a cloud shadow detection algorithm for TROPOMI." Atmospheric Measurement Techniques 15, no. 10 (2022): 3121–40. http://dx.doi.org/10.5194/amt-15-3121-2022.

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Abstract. Cloud shadows are observed by the TROPOMI satellite instrument as a result of its high spatial resolution compared to its predecessor instruments. These shadows contaminate TROPOMI's air quality measurements, because shadows are generally not taken into account in the models that are used for aerosol and trace gas retrievals. If the shadows are to be removed from the data, or if shadows are to be studied, an automatic detection of the shadow pixels is needed. We present the Detection AlgoRithm for CLOud Shadows (DARCLOS) for TROPOMI, which is the first cloud shadow detection algorith

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Zhou, Kaixuan, Roderik Lindenbergh, and Ben Gorte. "Automatic Shadow Detection in Urban Very-High-Resolution Images Using Existing 3D Models for Free Training." Remote Sensing 11, no. 1 (2019): 72. http://dx.doi.org/10.3390/rs11010072.

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Up-to-date 3D city models are needed for many applications. Very-high-resolution (VHR) images with rich geometric and spectral information and a high update rate are increasingly applied for the purpose of updating 3D models. Shadow detection is the primary step for image interpretation, as shadow causes radiometric distortions. In addition, shadow itself is valuable geometric information. However, shadows are often complicated and environment-dependent. Supervised learning is considered to perform well in detecting shadows when training samples selected from these images are available. Unfort

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Rakesh, Dangi, and Nigam Anjana. "Shadow Detection and Removal using Tricolor Attenuation Model Based on Feature Descriptor." International Journal of Trend in Scientific Research and Development 3, no. 4 (2019): 1268–72. https://doi.org/10.5281/zenodo.3590957.

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Presently present TAM FD, a novel expansion of tricolor constriction model custom fitted for the difficult issue of shadow identification in pictures. Past strategies for shadow discovery center on learning the neighborhood appearance of shadow areas, while utilizing restricted nearby setting thinking as pairwise possibilities in a Conditional Random Field. Interestingly, the proposed methodology can display more elevated amount connections and worldwide scene attributes. We train a shadow locator that relates to the generator of a restrictive TAM, and expand its shadow precision by consolidat

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Jin, Yeying, Wei Ye, Wenhan Yang, Yuan Yuan, and Robby T. Tan. "DeS3: Adaptive Attention-Driven Self and Soft Shadow Removal Using ViT Similarity." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 3 (2024): 2634–42. http://dx.doi.org/10.1609/aaai.v38i3.28041.

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Removing soft and self shadows that lack clear boundaries from a single image is still challenging. Self shadows are shadows that are cast on the object itself. Most existing methods rely on binary shadow masks, without considering the ambiguous boundaries of soft and self shadows. In this paper, we present DeS3, a method that removes hard, soft and self shadows based on adaptive attention and ViT similarity. Our novel ViT similarity loss utilizes features extracted from a pre-trained Vision Transformer. This loss helps guide the reverse sampling towards recovering scene structures. Our adapti

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Norman, J. Farley, Thomas E. Dawson, and Shane R. Raines. "The Perception and Recognition of Natural Object Shape from Deforming and Static Shadows." Perception 29, no. 2 (2000): 135–48. http://dx.doi.org/10.1068/p2994.

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In this study of the informativeness of shadows for the perception of object shape, observers viewed shadows cast by a set of natural solid objects and were required to discriminate between them. In some conditions the objects underwent rotation in depth while in other conditions they remained stationary, thus producing both deforming and static shadows. The orientation of the light source casting the shadows was also varied, leading to further alterations in the shape of the shadows. When deformations in the shadow boundary were present, the observers were able to reliably recognize and discr

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Mamurov, Islom, and Feruza Islamovna Mamurova. "CONSTRUCT THE SHADOWS OF A STRAIGHT TETRAHEDRAL PYRAMID." Multidisciplinary Journal of Science and Technology 4, no. 6 (2024): 179–82. https://doi.org/10.5281/zenodo.11641784.

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Shadows of geometric objects in orthogonal projections. Shadows of geometric objects in axonometry. Own and falling shadows of objects. Shadows falling on other objects. The shadows of a geometric body are the shadows of a straight circular cone standing on the horizontal plane of projections. Shadows of a geometric body In this case, the shadow of the base coincides with it and it remains to find shadows only from the vertex of the cone that fall on the frontal plane of projection to the point NS and the horizontal plane of projection to the point

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16

Edwards, B. H. "The Shadow of Shadows." positions: east asia cultures critique 11, no. 1 (2003): 11–49. http://dx.doi.org/10.1215/10679847-11-1-11.

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Alavipanah, Seyed Kazem, Mohammad Karimi Firozjaei, Amir Sedighi, et al. "The Shadow Effect on Surface Biophysical Variables Derived from Remote Sensing: A Review." Land 11, no. 11 (2022): 2025. http://dx.doi.org/10.3390/land11112025.

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In remote sensing (RS), shadows play an important role, commonly affecting the quality of data recorded by remote sensors. It is, therefore, of the utmost importance to detect and model the shadow effect in RS data as well as the information that is obtained from them, particularly when the data are to be used in further environmental studies. Shadows can generally be categorized into four types based on their sources: cloud shadows, topographic shadows, urban shadows, and a combination of these. The main objective of this study was to review the recent literature on the shadow effect in remot

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Fushio, Yuki, and Mitsunori Matsushita. "Dynamic Shadow Generation System Based on Shape Recognition." Journal of Advanced Computational Intelligence and Intelligent Informatics 16, no. 2 (2012): 212–18. http://dx.doi.org/10.20965/jaciii.2012.p0212.

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This paper proposes a dynamic shadow generation system that combines the shadow of an object with the artificial shadows of virtual characters. In our proposed system, infrared light is used to capture an object’s shadow in order to discriminate between a shadow generated by an object and a virtual shadow generated by the system. Our proposed system determines areas in which shadows do not appear and then the shadows of virtual characters are added to these areas. This paper presents the basic idea of the system, the shadow generation algorithm that it uses, and an empirical study on the sharp

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Cheng, Jingwen, Lintao Liu, Feng Chen, and Yue Jiang. "Meaningful Secret Image Sharing with Uniform Image Quality." Mathematics 10, no. 18 (2022): 3241. http://dx.doi.org/10.3390/math10183241.

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In meaningful secret image sharing (MSIS), a secret image is divided into n shadows. Each shadow is meaningful and similar to the corresponding cover image. Meaningful shadows can reduce the suspicion of attackers in transmission and facilitate shadow management. Previous MSIS schemes always include pixel expansion, and cross-interference from different shadows may exist when cover images are extremely unnatural images with large black and white blocks. In this article, we propose an MSIS with uniform image quality. A threshold t is set to determine the absolute salient regions. More identical

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Sun, Lu. "A Brief Exploration of the Daoist Personality Shadow." Advances in Education, Humanities and Social Science Research 12, no. 1 (2025): 854. https://doi.org/10.56028/aehssr.12.1.854.2024.

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The evil embedded in the Daoist personality is primarily represented by the concept of the personality shadow, a crucial element in the Daoist personality framework. There are three main categories of the Daoist shadow: Hun and Po, Desire, and Filial Impiety, each linked to negative or immoral traits. These shadows can compromise an individual’s moral integrity and ethical conduct. Given the significance of the Daoist personality shadow, this article offers a comprehensive analysis of the Daoist shadow, encompassing its essential content, distinguishing characteristics, and the methodologies p

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Kunzendorf, Robert G., William Butler, and Brian Pearson. "Are Monocular Arrays Discriminable from Binocular Arrays?" Perceptual and Motor Skills 66, no. 2 (1988): 531–34. http://dx.doi.org/10.2466/pms.1988.66.2.531.

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On each trial of this experiment, a subject was visually stimulated by one or two shadows on a translucent background in a Telebinocular. For each subject, there were 40 trials of monocular stimulation by one shadow, 40 trials of monocular stimulation by two shadows (one in each hemifield), and 40 trials of binocular stimulation by two shadows (one in the left hemifield of one eye and another in the right hemifield of the other eye). Across these randomly ordered trials, 52 subjects were unable to discriminate two right-eye shadows from two left-eye shadows and were unable to discriminate two

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Lekshmi, Ajayan, and C. Christopher Seldev. "Shadow Removal Using Inpainting and Interpolation Technique." Applied Mechanics and Materials 626 (August 2014): 32–37. http://dx.doi.org/10.4028/www.scientific.net/amm.626.32.

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Shadows are viewed as undesired information that strongly affects images. Shadows may cause a high risk to present false color tones, to distort the shape of objects, to merge, or to lose objects. This paper proposes a novel approach for the detection and removal of shadows in an image. Firstly the shadow and non shadow region of the original image is identified by HSV color model. The shadow removal is based on exemplar based image inpainting. Finally, the border between the reconstructed shadow and the non shadow areas undergoes bilinear interpolation to yield a smooth transition between the

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Cha, Do Wan, Sung Nam Oh, Keun Ha Choi, Kab Il Kim, Kyung Soo Kim, and Soo Hyun Kim. "Design and Evaluation of the Unmanned Technology Research Centre Exoskeleton (UTRCEXO)." Applied Mechanics and Materials 436 (October 2013): 345–50. http://dx.doi.org/10.4028/www.scientific.net/amm.436.345.

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In this paper, we present an exoskeleton called the Unmanned Technology Research Centre Exoskeleton (UTRCEXO), which utilizes a shadow walking assistance mechanism. The shadow walking assistance mechanism shadows the operators walking after visible movements by the operator, such as a heel-off event or a toe-off event. The UTRCEXO determines the operators walking intention with the toe-off event, when the toe leaves the ground, and then shadows the operators walking. The UTRCEXO implementing the shadow walking assistance mechanism shadows the first step of the operator immediately.

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Abdusalomov and Whangbo. "Detection and Removal of Moving Object Shadows Using Geometry and Color Information for Indoor Video Streams." Applied Sciences 9, no. 23 (2019): 5165. http://dx.doi.org/10.3390/app9235165.

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The detection and removal of moving object shadows is a challenging issue. In this article, we propose a new approach for accurately removing shadows on modern buildings in the presence of a moving object in the scene. Our approach is capable of achieving good performance when addressing multiple shadow problems, by reducing background surface similarity and ghost artifacts. First, a combined contrast enhancement technique is applied to the input frame sequences to produce high-quality output images for indoor surroundings with an artificial light source. After obtaining suitable enhanced imag

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Plummer, Matthew, Douglas Stow, Emanuel Storey, Lloyd Coulter, Nicholas Zamora, and Andrew Loerch. "Reducing Shadow Effects on the Co-Registration of Aerial Image Pairs." Photogrammetric Engineering & Remote Sensing 86, no. 3 (2020): 177–86. http://dx.doi.org/10.14358/pers.86.4.177.

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Image registration is an important preprocessing step prior to detecting changes using multi-temporal image data, which is increasingly accomplished using automated methods. In high spatial resolution imagery, shadows represent a major source of illumination variation, which can reduce the performance of automated registration routines. This study evaluates the statistical relationship between shadow presence and image registration accuracy, and whether masking and normalizing shadows leads to improved automatic registration results. Eighty-eight bitemporal aerial image pairs were co-registere

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Kodera, Sergius. "Schatten des Lichts." Volume 62 · 2021 62, no. 1 (2021): 151–80. http://dx.doi.org/10.3790/ljb.62.1.151.

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Shadows of Light. Giordano Bruno’s Promethean Dialectic This article examines the status of shadows, in particular in Giordano Bruno’s ars memorativa. As ›traces of light‹, shadows not only embody the universal substrate of an infinitely extended material universe, but human action, thought and communication also necessarily depend on the medium of the shadow. Bruno’s mnemonics teaches the targeted, deliberately steered – if not even deceitful – handling of the shadows. In contrast to the Platonic tradition, he ascribes shadows a status that is independent of Platonic ideas. This article argue

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Kim, Hyeonggyu, Wansang Yoon, and Taejung Kim. "Automated Cloud Shadow Detection from Satellite Orthoimages with Uncorrected Cloud Relief Displacements." Remote Sensing 16, no. 21 (2024): 3950. http://dx.doi.org/10.3390/rs16213950.

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Clouds and their shadows significantly affect satellite imagery, resulting in a loss of radiometric information in the shadowed areas. This loss reduces the accuracy of land cover classification and object detection. Among various cloud shadow detection methods, the geometric-based method relies on the geometry of the sun and sensor to provide consistent results across diverse environments, ensuring better interpretability and reliability. It is well known that the direction of shadows in raw satellite images depends on the sun’s illumination and sensor viewing direction. Orthoimages are typic

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Han, Hongyin, Chengshan Han, Xucheng Xue, et al. "A Mixed Property-Based Automatic Shadow Detection Approach for VHR Multispectral Remote Sensing Images." Applied Sciences 8, no. 10 (2018): 1883. http://dx.doi.org/10.3390/app8101883.

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Shadows in very high-resolution multispectral remote sensing images hinder many applications, such as change detection, target recognition, and image classification. Though a wide variety of significant research has explored shadow detection, shadow pixels are still more or less omitted and are wrongly confused with vegetation pixels in some cases. In this study, to further manage the problems of shadow omission and vegetation misclassification, a mixed property-based shadow index is developed for detecting shadows in very high-resolution multispectral remote sensing images based on the differ

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Li, Peng, and Zuquan Liu. "An Improved Essential Secret Image Sharing Scheme with Smaller Shadow Size." International Journal of Digital Crime and Forensics 10, no. 3 (2018): 78–94. http://dx.doi.org/10.4018/ijdcf.2018070107.

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This article describes how in conventional (k, n) secret image sharing (SIS), any k or more shadows can be collaborated together to reveal the secret image. Usually, all shadows have the same importance. Recently, an essential (t, s, k, n) secret image sharing (ESIS) with different importance of shadows were proposed where the n shadows are divided into s essential shadows and n − s non-essential shadows. In reconstruction, it needs at least k shadows which should include at least t essential shadows. In this article, the authors propose an improved (t, s, k, n)-ESIS scheme, where t&lt;k.

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Yamashita, Yukihiro, Fumihiko Sakaue, and Jun Sato. "Fast 3D Shape Recovery from Shadows Projected on Arbitrary Curved Surfaces." International Journal of Virtual Reality 9, no. 1 (2010): 1–6. http://dx.doi.org/10.20870/ijvr.2010.9.1.2754.

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The shadow based 3D surface reconstruction methods usually assume that shadows are projected on planar surfaces. However, shadows are often projected on curved surfaces in the real scene. Recently, the shadow graph has been proposed for representing shadow information efficiently, and for recovering 3D shapes from shadows projected on curved surfaces. Unfortunately, the method requires a large computational cost and is weak to the image intensity noises. In this paper, we introduce 1D shadow graphs which can represent shadow information quite efficiently, and can be used for recovering 3D shap

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Gupta, Nikita Gupta. "Shedding Light on Shadows: Exploring the Creation and Significance of Shadows." International Journal of Advanced Research and Interdisciplinary Scientific Endeavours 2, no. 4 (2025): 642–56. https://doi.org/10.61359/11.2206-2525.

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Shadows, often perceived as mere absences of light, hold significant scientific, cultural, and technological importance. This research paper explores the formation and properties of shadows, examining the interplay of light, object positioning, and observer perspective in their creation. The study investigates the structural components of shadows—umbra, penumbra, and antumbra—and their roles in everyday life and astronomical phenomena, such as solar and lunar eclipses. It further delves into the significance of shadows in human history, highlighting their influence on art, architecture, and li

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Jin, Yeying, Ruoteng Li, Wenhan Yang, and Robby T. Tan. "Estimating Reflectance Layer from a Single Image: Integrating Reflectance Guidance and Shadow/Specular Aware Learning." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 1 (2023): 1069–77. http://dx.doi.org/10.1609/aaai.v37i1.25188.

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Estimating the reflectance layer from a single image is a challenging task. It becomes more challenging when the input image contains shadows or specular highlights, which often render an inaccurate estimate of the reflectance layer. Therefore, we propose a two-stage learning method, including reflectance guidance and a Shadow/Specular-Aware (S-Aware) network to tackle the problem. In the first stage, an initial reflectance layer free from shadows and specularities is obtained with the constraint of novel losses that are guided by prior-based shadow-free and specular-free images. To further en

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Pfau, Monika, Georg Veh, and Wolfgang Schwanghart. "Cast shadows reveal changes in glacier surface elevation." Cryosphere 17, no. 8 (2023): 3535–51. http://dx.doi.org/10.5194/tc-17-3535-2023.

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Abstract. Increased rates of glacier retreat and thinning need accurate local estimates of glacier elevation change to predict future changes in glacier runoff and their contribution to sea level rise. Glacier elevation change is typically derived from digital elevation models (DEMs) tied to surface change analysis from satellite imagery. Yet, the rugged topography in mountain regions can cast shadows onto glacier surfaces, making it difficult to detect local glacier elevation changes in remote areas. A rather untapped resource comprises precise, time-stamped metadata on the solar position and

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Bankhele, Akanksha. "Shadow Detection and Removal Technique using CNN." International Journal for Research in Applied Science and Engineering Technology 9, no. 8 (2021): 1748–55. http://dx.doi.org/10.22214/ijraset.2021.37667.

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Abstract: The Shadow detection and removal Technique is used in many real-world applications, such as surveillance systems, computer vision applications and indoor outdoor system. The shape and orientation of an object, as well as the light source, can be revealed by shadows in an image. In a traffic surveillance system, the shadow can misclassify the actual target, lowering the system’s accuracy. Numerous algorithms and techniques have been developed by researchers to aid in the detection and removal of shadows in images. This paper aims to provide an overview of different shadow detection an

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Zhang, Lei, Qing Zhang, Yu Wu, et al. "A Full-Scale Shadow Detection Network Based on Multiple Attention Mechanisms for Remote-Sensing Images." Remote Sensing 16, no. 24 (2024): 4789. https://doi.org/10.3390/rs16244789.

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Shadows degrade image quality and complicate interpretation, underscoring the importance of accurate shadow detection for many image analysis tasks. However, due to the complex backgrounds and variable shadow characteristics of remote sensing images (RSIs), existing methods often struggle with accurately detecting shadows of various scales and misclassifying dark, non-shaded areas as shadows. To address these issues, we proposed a comprehensive shadow detection network called MAMNet. Firstly, we proposed a multi-scale spatial channel attention fusion module, which extracted multi-scale feature

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Li, Jiajia, Wei Chen, Tai Ying, and Lan Yang. "Double-Exposure Algorithm: A Powerful Approach to Address the Accuracy Issues of Fractional Vegetation Extraction under Shadow Conditions." Applied Sciences 14, no. 17 (2024): 7719. http://dx.doi.org/10.3390/app14177719.

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When recording the vegetation distribution with a camera, shadows can form due to factors like camera angle and direct sunlight. These shadows result in the loss of pixel information and texture details, significantly reducing the accuracy of fractional vegetation coverage (FVC) extraction. To address this issue, this study proposes an efficient double-exposure algorithm. The method reconstructs the pixel information in shadow areas by fusing normal-exposure and overexposed images. This approach overcomes the limitations of the camera’s dynamic range in capturing pixel information in shadowed

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Vucenovic, A. "INTERACTION OF LIGHT AND SHADOW AS A PROJECTION IN THE PROCESS OF CREATING A SHADOW PERFORMANCE, A PHOTO AND A FILM." Izvestiya of the Samara Science Centre of the Russian Academy of Sciences. Social, Humanitarian, Medicobiological Sciences 24, no. 84 (2022): 40–51. http://dx.doi.org/10.37313/2413-9645-2022-24-84-40-51.

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For many centuries, the name of one of the types of theater that exists in different forms has been recorded under the name "shadow theater". By this name, we mean many different principles of interaction between light and an object that create shadows. Since projection involves the use of light to achieve "light scenes" as well as the use of light as a tool for creating shadows, it is fair to call such a theater "theater of light and shadows." If we use the name “puppet theater”, since the puppet is the main performer in the performance, then in this case both light and shadows equally partic

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Prabhakar, D., and P. K. Garg. "AUTOMATIC SHADOW DETECTION FOR HIGH-RESOLUTION REMOTE SENSING DATA." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-4/W5-2022 (October 17, 2022): 143–50. http://dx.doi.org/10.5194/isprs-archives-xlviii-4-w5-2022-143-2022.

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Abstract. Shadow can be casted by daylight or any other light sources. We will not get a clear and quality image if it's hovered by the shadow. Shadows are frequently formed in high-resolution satellite imagery by the limitations of the imaging environment and the presence of high rise structures, and this scenario is true especially in metropolitan regions. Shadow is one of the noteworthy evils in remotely sensed imagery which hinders the precision of information extraction and change identification. To attenuate the effects of shadow in high resolution imagery regarding their supplemental fu

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Castiello, Umberto, Dean Lusher, Carol Burton, and Peter Disler. "Shadows in the Brain." Journal of Cognitive Neuroscience 15, no. 6 (2003): 862–72. http://dx.doi.org/10.1162/089892903322370780.

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The aims of the present study were to investigate whether the processing of an object shadow occurs implicitly, that is without conscious awareness, and where physically within the human brain shadows are processed. Here we present neurological evidence, obtained from studies of brain-injured patients with visual neglect, that shadows are implicitly processed and that this processing may take place within the temporal lobe. Neglect patients with lesions that do not involve the right temporal lobe were still able to process shadows to optimize object shape perception. In contrast, shadow proces

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Yu, Long, Yuliang Lu, Xuehu Yan, Yue Jiang, and Jiayu Wang. "Generative Text Secret Sharing with Topic-Controlled Shadows." Security and Communication Networks 2022 (November 22, 2022): 1–14. http://dx.doi.org/10.1155/2022/7189130.

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Secret image sharing has been extensively and thoroughly researched. However, in the social network environment, shadow images are subject to compression or noise pollution during uploading and transmitting, which makes it challenging to recover secrets losslessly. Texts are more suited for transmission in social networks as shadows because of the broad variety of application scenarios and inherent robustness. Through a secret sharing technique of k , n threshold, a secret is encrypted as n shadows, where any k or more shadows can recover the secret, while less than k cannot obtain any informa

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Koizumi, Tomomi, Hiroyuki Ito, Shoji Sunaga, and Masaki Ogawa. "Directional Bias in the Perception of Cast Shadows." i-Perception 8, no. 1 (2017): 204166951668226. http://dx.doi.org/10.1177/2041669516682267.

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Previous studies have demonstrated that the perception of shading is based upon assumptions about lighting direction, for example, light from above. However, it is not clear whether these assumptions are used in the perception of cast shadows. Moreover, it is unclear whether a perceptual interaction exists between shading and cast shadows because until now they have been studied separately. In this study, we investigated through three experiments whether the light-from-above (or another direction) assumption is used in interpreting ambiguous cast shadows, and whether shading information influe

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Cunha, Pedro V. P., Carlos A. R. Herdeiro, Eugen Radu, and Helgi F. Rúnarsson. "Shadows of Kerr black holes with and without scalar hair." International Journal of Modern Physics D 25, no. 09 (2016): 1641021. http://dx.doi.org/10.1142/s0218271816410212.

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For an observer, the Black Hole (BH) shadow is the BHs apparent image in the sky due to the gravitational lensing of nearby radiation, emitted by an external source. A recent class of solutions dubbed Kerr BHs with scalar hair possess smaller shadows than the corresponding Kerr BHs and, under some conditions, novel exotic shadow shapes can arise. Thus, these hairy BHs could potentially provide new shadow templates for future experiments such as the Event Horizon Telescope. In order to obtain the shadows, the backward ray-tracing algorithm is briefly introduced, followed by numerical examples o

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Yi, Yugen, Jiangyan Dai, Chengduan Wang, et al. "An Effective Framework Using Spatial Correlation and Extreme Learning Machine for Moving Cast Shadow Detection." Applied Sciences 9, no. 23 (2019): 5042. http://dx.doi.org/10.3390/app9235042.

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Moving cast shadows of moving objects significantly degrade the performance of many high-level computer vision applications such as object tracking, object classification, behavior recognition and scene interpretation. Because they possess similar motion characteristics with their objects, moving cast shadow detection is still challenging. In this paper, we present a novel moving cast-shadow detection framework based on the extreme learning machine (ELM) to efficiently distinguish shadow points from the foreground object. First, according to the physical model of shadows, pixel-level features

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Setiyono, Budi, Dwi Ratna Sulistyaningrum, Soetrisno ., and Hasanuddin Al-Habib. "Improvement of sub region matching illumination transfer in hybrid shadow removal method for moving vehicle video." International Journal of Engineering & Technology 7, no. 4 (2018): 2678. http://dx.doi.org/10.14419/ijet.v7i4.13725.

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Intelligent Transportation System (ITS) is a concept to manage transportation based on technology development. Video from surveillance cameras can be used for monitoring the number of vehicles and speed using digital image processing. Shadows on the vehicle is one of the noise that must be removed in order to obtain better accuracy. Shadow is caused by the reflection of objects exposed to the light. In this study, we combined two methods to eliminate shadows on moving vehicle, the subregion illumination transfer method and the background-based Gaussian mixture model. Foreground image is used f

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Alekseychuk, A. S., and Yu D. Mukin. "Application of Convolutional Neural Networks in the Problem of Removing Shadows from Photographs." Моделирование и анализ данных 14, no. 1 (2024): 41–51. http://dx.doi.org/10.17759/mda.2024140103.

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<p>The article proposes a method for removing shadows from photographs using deep learning methods. The proposed method consists of several stages: dividing the image into rectangular fragments of 32x32 pixels, localizing shadows on each fragment, restoring the color of shadowed objects, and combining the fragments back into a whole image. Shadow localization is considered as a semantic segmentation problem; to solve it, a neural network of encoder-decoder architecture has been developed and trained. To restore the color of objects in identified shaded areas, another neural network based

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Su, Zehao, and Xue-Ning Bai. "Dynamical Consequence of Shadows Cast to the Outer Protoplanetary Disks. I. Two-dimensional Simulations." Astrophysical Journal 975, no. 1 (2024): 126. http://dx.doi.org/10.3847/1538-4357/ad7581.

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Abstract There has been increasing evidence of shadows from scattered light observations of outer protoplanetary disks (PPDs) cast from the (unresolved) disk inner region, while in the meantime these disks present substructures of various kinds in the submillimeter. As stellar irradiation is the primary heating source for the outer PPDs, the presence of such shadows thus suggests inhomogeneous heating of the outer disk in azimuth, leading to a “thermal forcing” with dynamical consequences. We conduct a suite of idealized two-dimensional disk simulations of the outer disk with azimuthally varyi

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Vucenovic, A. "THE USE OF "GRAY SHADOW" IN THE PERFORMING ARTS AS A WAY TO CREATE A MYSTERIOUS EFFECT." Izvestiya of the Samara Science Centre of the Russian Academy of Sciences. Social, Humanitarian, Medicobiological Sciences 23, no. 80 (2021): 51–59. http://dx.doi.org/10.37313/2413-9645-2021-23-80-51-59.

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The phenomenon of light and shadow is discussed by many sciences, including art criticism. And what does the shadow really represent? What is the relationship between light and shadow? When and why do we use shadows as a technique in theatrical performances? This work explores the shadow as a consequence of the action of light on an object that does not allow it to pass through - the "gray shadow" in theatrical performances. There Are numerous theatrical performances in which diverse projections and shadows are used as expressive means. We use shadow in the theater when we want to know, to see

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Hsieh, Yi-Ta, Kun-Yong Yu, Chaur-Tzuhn Chen, and Jan-Chang Chen. "Estimating stand attributes of complex forest types in subtropical mountain environments by combining the shadow fraction method with analyses of high-dynamic-range photographs." Canadian Journal of Forest Research 50, no. 10 (2020): 1093–99. http://dx.doi.org/10.1139/cjfr-2018-0502.

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Shadow fractions can be overestimated because of topographic shadows, which can occupy a significant area on aerial photographs of mountainous terrain. In this study, we first used high-dynamic-range (HDR) image analysis techniques to extract the original canopy shadow from the topographic shadows on aerial photographs. Subsequently, we applied the shadow fraction method to estimate selected forest attributes (stand height, basal area, and stem volume). In this paper, we discuss the effects of tree shadow fraction normalization, auxiliary spectral information, and forest type on forest attribu

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Hatipoğlu, P. U., R. T. Albayrak, and A. A. Alatan. "OBJECT DETECTION UNDER MOVING CLOUD SHADOWS IN WAMI." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences V-2-2020 (August 3, 2020): 837–44. http://dx.doi.org/10.5194/isprs-annals-v-2-2020-837-2020.

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Abstract. For a reliable and robust moving object detection, the subtraction of a precisely modeled background is crucial in wide-area motion imagery (WAMI). Even the most successful background subtraction algorithms that are designed to model highly-dynamic environments cannot cope with rapidly changing scenery, such as moving cloud shadows, which has different characteristics from dynamic textures. This paper presents a novel method to detect moving objects and to eliminate false alarms under moving cloud shadow regions in gray-level video sequences. The proposed method uses the relation bet

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Song, Jia, and Xiangbing Yan. "The Effect of Negative Samples on the Accuracy of Water Body Extraction Using Deep Learning Networks." Remote Sensing 15, no. 2 (2023): 514. http://dx.doi.org/10.3390/rs15020514.

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Water resources are important strategic resources related to human survival and development. Water body extraction from remote sensing images is a very important research topic for the monitoring of global and regional surface water changes. Deep learning networks are one of the most effective approaches and training data is indispensable for ensuring the network accurately extracts water bodies. The training data for water body extraction includes water body samples and non-water negative samples. Cloud shadows are essential negative samples due to the high similarity between water bodies and

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