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Journal articles on the topic 'Panorama Images'

Author: Grafiati

Published: 5 June 2025

Last updated: 2 August 2025

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1

Nikolaev, Gleb, Dmitry Korshunov, and Alexander Khvostikov. "Automatic stitching of panoramas for geological images of polished sections." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences X-2/W1-2024 (December 16, 2024): 39–46. https://doi.org/10.5194/isprs-annals-x-2-w1-2024-39-2024.

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Abstract. This paper addresses the challenge of constructing panoramic images from a set of overlapping microscopic images of geological polished sections.This task is valuable both for automatic mineral detection and for the creating of advanced virtual educational collections. We present LumenStone P1, a new dataset of polished section images for panorama stitching, along with an automatic method for constructing panoramas of these images. Comparisons with existing approaches, including commercial ones, demonstrate that our method is comparable in stitching quality. The numerical value of pa

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Lee, I. C., and F. Tsai. "APPLICATIONS OF PANORAMIC IMAGES: FROM 720° PANORAMA TO INTERIOR 3D MODELS OF AUGMENTED REALITY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-4/W5 (May 12, 2015): 189–92. http://dx.doi.org/10.5194/isprsarchives-xl-4-w5-189-2015.

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A series of panoramic images are usually used to generate a 720° panorama image. Although panoramic images are typically used for establishing tour guiding systems, in this research, we demonstrate the potential of using panoramic images acquired from multiple sites to create not only 720° panorama, but also three-dimensional (3D) point clouds and 3D indoor models. Since 3D modeling is one of the goals of this research, the location of the panoramic sites needed to be carefully planned in order to maintain a robust result for close-range photogrammetry. After the images are acquired, panoramic

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Zhang, Shuhang, Chun Liu, and Yuan Zhou. "UAV-Based Gigapixel Panoramic Image Acquisition Planning with Ray Casting-Based Overlap Constraints." Journal of Sensors 2019 (May 2, 2019): 1–9. http://dx.doi.org/10.1155/2019/4845104.

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Panoramic imaging is information-rich, low-cost, and effective. In panoramic image acquisition, unmanned aerial vehicles (UAVs) have a natural advantage that owes to their flexibility and relatively large observation ranges. Using a panoramic gimbal and a single camera may be the most common means of capturing gigapixel panoramas. In order to manage the constraints of UAV power and facilitate the use of a variety of camera lenses, an effective and flexible method for planning UAV gigapixel panorama acquisitions is required. To address this need, a panoramic image acquisition planning method is

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Beaucamp, B., T. Leduc, V. Tourre, and M. Servières. "THE WHOLE IS OTHER THAN THE SUM OF ITS PARTS: SENSIBILITY ANALYSIS OF 360° URBAN IMAGE SPLITTING." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences V-4-2022 (May 18, 2022): 33–40. http://dx.doi.org/10.5194/isprs-annals-v-4-2022-33-2022.

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Abstract. 360° imagery has been increasingly used to estimate the subjective qualities of the urban space, such as the feeling of safety or the liveliness of a place. These spherical panoramas offer an immersive view of the urban scene, close to the experience of a pedestrian. In recent years, Deep Learning approaches have been developed for this estimation task, only using flat images because these images are easier to annotate and process with standard CNNs. Thus to qualify the whole urban space, the panoramic images are divided into four flat sub-images that can be processed by the trained

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Zhang, S., J. Wu, Y. Zhang, X. Zhang, Z. Xin, and J. Liu. "LOCATION DISTRIBUTION OPTIMIZATION OF PHOTOGRAPHING SITES FOR INDOOR PANORAMA MODELING." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-2/W4 (September 14, 2017): 431–38. http://dx.doi.org/10.5194/isprs-annals-iv-2-w4-431-2017.

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Generally, panoramas image modeling is costly and time-consuming because of photographing continuously to capture enough photos along the routes, especially in complicated indoor environment. Thus, difficulty follows for a wider applications of panoramic image modeling for business. It is indispensable to make a feasible arrangement of panorama sites locations because the locations influence the clarity, coverage and the amount of panoramic images under the condition of certain device. This paper is aim to propose a standard procedure to generate the specific location and total amount of panor

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Yan, Kun, Lei Ji, Chenfei Wu, et al. "HORIZON: High-Resolution Semantically Controlled Panorama Synthesis." Proceedings of the AAAI Conference on Artificial Intelligence 38, no. 6 (2024): 6431–39. http://dx.doi.org/10.1609/aaai.v38i6.28463.

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Panorama synthesis endeavors to craft captivating 360-degree visual landscapes, immersing users in the heart of virtual worlds. Nevertheless, contemporary panoramic synthesis techniques grapple with the challenge of semantically guiding the content generation process. Although recent breakthroughs in visual synthesis have unlocked the potential for semantic control in 2D flat images, a direct application of these methods to panorama synthesis yields distorted content. In this study, we unveil an innovative framework for generating high-resolution panoramas, adeptly addressing the issues of sph

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Lai, Jhe-Syuan, Yi-Hung Tsai, Min-Jhen Chang, Jun-Yi Huang, and Chao-Ming Chi. "A Technical and Operational Perspective on Quality Analysis of Stitching Images with Multi-Row Panorama and Multimedia Sources for Visualizing the Tourism Site of Onshore Wind Farm." ISPRS International Journal of Geo-Information 11, no. 7 (2022): 362. http://dx.doi.org/10.3390/ijgi11070362.

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A virtual tour of the onshore wind farm near Gaomei Wetland, Taichung City, Taiwan, was produced by producing panoramic images of the site by stitching images captured with a full-frame digital single-lens reflex camera and a multi-row panorama instrument, which automatically and precisely divided each scene into several images. Subsequently, the image stitching quality was improved by calculating the root mean square error (RMSE) of tie point matching and adjusting the tie points. Errors due to eccentricity attributed to the camera’s relative position to the rotational axis of the multi-row p

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Boussias-Alexakis, E., V. Tsironisa, E. Petsa, and G. Karras. "AUTOMATIC ADJUSTMENT OF WIDE-BASE GOOGLE STREET VIEW PANORAMAS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B1 (June 6, 2016): 639–45. http://dx.doi.org/10.5194/isprs-archives-xli-b1-639-2016.

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This paper focuses on the issue of sparse matching in cases of extremely wide-base panoramic images such as those acquired by Google Street View in narrow urban streets. In order to effectively use affine point operators for bundle adjustment, panoramas must be suitably rectified to simulate affinity. To this end, a custom piecewise planar projection (triangular prism projection) is applied. On the assumption that the image baselines run parallel to the street façades, the estimated locations of the vanishing lines of the façade plane allow effectively removing projectivity and applying the AS

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Boussias-Alexakis, E., V. Tsironisa, E. Petsa, and G. Karras. "AUTOMATIC ADJUSTMENT OF WIDE-BASE GOOGLE STREET VIEW PANORAMAS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B1 (June 6, 2016): 639–45. http://dx.doi.org/10.5194/isprsarchives-xli-b1-639-2016.

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This paper focuses on the issue of sparse matching in cases of extremely wide-base panoramic images such as those acquired by Google Street View in narrow urban streets. In order to effectively use affine point operators for bundle adjustment, panoramas must be suitably rectified to simulate affinity. To this end, a custom piecewise planar projection (triangular prism projection) is applied. On the assumption that the image baselines run parallel to the street façades, the estimated locations of the vanishing lines of the façade plane allow effectively removing projectivity and applying the AS

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10

JIANG, WEI, SHIGEKI SUGIMOTO, and MASATOSHI OKUTOMI. "PANORAMIC 3D RECONSTRUCTION USING STEREO MULTI-PERSPECTIVE PANORAMA." International Journal of Pattern Recognition and Artificial Intelligence 24, no. 06 (2010): 867–96. http://dx.doi.org/10.1142/s0218001410008226.

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In this paper, we present a novel approach to imaging a panoramic (360°) environment and computing its dense depth map. Our approach adopts a multi-baseline stereo strategy using a set of multi-perspective panoramas where large baseline lengths are available. We design two image acquisition rigs for capturing such multi-perspective panoramas. The first one is composed of two parallel stereo cameras. By rotating the rig about a vertical axis, we generate four multi-perspective panoramas by resampling the regular perspective images captured by the stereo cameras. Then a depth map is estimated fr

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11

Li, Ben, Shanjun Mao, and Mei Li. "A robust method for dynamic image stitching on a fully mechanized mining face." Journal of Geophysics and Engineering 18, no. 4 (2021): 446–62. http://dx.doi.org/10.1093/jge/gxab023.

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Abstract Video surveillance systems can be applied in coal mines for remote monitoring and for production control. Stitching video images into a panorama enhances the usability of video systems, since a panorama offers a wider view than single images do. But there are big challenges when conventional image stitching methods are applied to the domain of coal mine, especially in the mining faces. These challenges consist of non-uniform illumination, missed scenes and oblique panoramas. In this paper, a robust method was proposed to solve these three problems: (i) to overcome the non-uniform illu

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Wu, Jian, and Tian Xiu Yu. "Virtual Walk-Through of Dunhuang Panorama-Based on Web." Advanced Materials Research 718-720 (July 2013): 2175–83. http://dx.doi.org/10.4028/www.scientific.net/amr.718-720.2175.

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In order to provide virtual Dunhuang panorama browse (walk-through) on the web, we propose a hybrid technique which combines both remote image rendering and image compression transportation technique. In our approach, the server renders a partial panoramic view, which is based on the users viewpoint and last movements or sends image. The server then compress images, and streams the images to the client device, which will progressively build the panoramic representation of the scene. Furthermore, in order to enhance streaming performance and quality of the interaction, we propose to use a predi

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Fang, Yicheng, Kailun Yang, Ruiqi Cheng, Lei Sun, and Kaiwei Wang. "A Panoramic Localizer Based on Coarse-to-Fine Descriptors for Navigation Assistance." Sensors 20, no. 15 (2020): 4177. http://dx.doi.org/10.3390/s20154177.

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Visual Place Recognition (VPR) addresses visual instance retrieval tasks against discrepant scenes and gives precise localization. During a traverse, the captured images (query images) would be traced back to the already existing positions in the database images, rendering vehicles or pedestrian navigation devices distinguish ambient environments. Unfortunately, diverse appearance variations can bring about huge challenges for VPR, such as illumination changing, viewpoint varying, seasonal cycling, disparate traverses (forward and backward), and so on. In addition, the majority of current VPR

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Chen, Kai, Jian Yao, Menghan Xia, Xinyuan Gui, Xiaohu Lu, and Li Li. "A UNIFIED BLENDING FRAMEWORK FOR PANORAMA COMPLETION VIA GRAPH CUTS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B3 (June 9, 2016): 487–94. http://dx.doi.org/10.5194/isprs-archives-xli-b3-487-2016.

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In this paper, we propose a unified framework for efficiently completing streetview and indoor 360&deg; panoramas due to the lack of bottom areas caused by the occlusion of the acquisition platform. To greatly reduce the severe distortion at the bottom of the panorama, we first reproject it onto the ground perspective plane containing the whole occluded region to be completed. Then, we formulate the image completion problem in an improved graph cuts optimization framework based on the statistics of similar patches by strengthening the boundary constraints. To further eliminate image lumina

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Chen, Kai, Jian Yao, Menghan Xia, Xinyuan Gui, Xiaohu Lu, and Li Li. "A UNIFIED BLENDING FRAMEWORK FOR PANORAMA COMPLETION VIA GRAPH CUTS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B3 (June 9, 2016): 487–94. http://dx.doi.org/10.5194/isprsarchives-xli-b3-487-2016.

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In this paper, we propose a unified framework for efficiently completing streetview and indoor 360&deg; panoramas due to the lack of bottom areas caused by the occlusion of the acquisition platform. To greatly reduce the severe distortion at the bottom of the panorama, we first reproject it onto the ground perspective plane containing the whole occluded region to be completed. Then, we formulate the image completion problem in an improved graph cuts optimization framework based on the statistics of similar patches by strengthening the boundary constraints. To further eliminate image lumina

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16

Xiong, Yingen, and Kari Pulli. "Fast panorama stitching for high-quality panoramic images on mobile phones." IEEE Transactions on Consumer Electronics 56, no. 2 (2010): 298–306. http://dx.doi.org/10.1109/tce.2010.5505931.

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Abhijeet, A. Patil* S. P. Patil. "A REVIEW OF IMAGE MOSAICING METHODS." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 5, no. 5 (2016): 941–46. https://doi.org/10.5281/zenodo.52505.

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Image Mosaicing is the process of combining two or more images of the same scene into one image and generate panorama of high resolution image. In this paper, we have described the basic methods used to generate panorama image. Our objective is to provide different methods and algorithms used to generate panoramic image. Mosaicing is one of the techniques of image processing which is useful for tiling digital images. Mosaicing is blending together of several arbitrarily shaped images to form one large radiometrically balanced image so that the boundaries between the original images are not see

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18

Braester, Yomi. "Panorama as Method." Prism 16, no. 2 (2019): 298–319. http://dx.doi.org/10.1215/25783491-7978507.

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Abstract Diverse artifacts in contemporary Chinese visual culture—from urban screens to architectural models, art exhibits, and viral media—share a panoramic breadth. This article suggests, however, that we should regard panorama not as a preordained form but as a discursive construct that posits an imaginary vantage point. Panorama as method notes the use of scale, recording of the skyline, and mediation of the cityscape. The article asks what material conditions and ideological circumstances allow for the existence of the images at hand and what brings us to identify them as panoramic. The i

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Al_airaji, Roa'a M., Ibtisam A. Aljazaery, Suha Kamal Al_Dulaimi, and Haider TH Salim Alrikabi. "Generation of high dynamic range for enhancing the panorama environment." Bulletin of Electrical Engineering and Informatics 10, no. 1 (2021): 138–47. http://dx.doi.org/10.11591/eei.v10i1.2362.

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This paper presents a methodology for enhancement of panorama images environment by calculating high dynamic range. Panorama is constructing by merge of several photographs that are capturing by traditional cameras at different exposure times. Traditional cameras usually have much lower dynamic range compared to the high dynamic range in the real panorama environment, where the images are captured with traditional cameras will have regions that are too bright or too dark. A more details will be visible in bright regions with a lower exposure time and more details will be visible in dark region

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Roa'a, M. Al_airaji, A. Aljazaery Ibtisam, Kamal Al_Dulaimi Suha, and Th. Salim ALRikabi Haider. "Generation of high dynamic range for enhancing the panorama environment." Bulletin of Electrical Engineering and Informatics 10, no. 1 (2021): 138–47. https://doi.org/10.11591/eei.v10i1.2362.

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This paper presents a methodology for enhancement of panorama images environment by calculating high dynamic range. Panorama is constructing by merge of several photographs that are capturing by traditional cameras at different exposure times. Traditional cameras usually have much lower dynamic range compared to the high dynamic range in the real panorama environment, where the images are captured with traditional cameras will have regions that are too bright or too dark. A more details will be visible in bright regions with a lower exposure time and more details will be visible in dark region

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Silva, Caio Chizzolini, Francisco Assis da Silva, Leandro Luiz de Almeida, Danillo Roberto Pereira, Almir Olivette Artero, and Marco Antônio Piteri. "CONSTRUÇÃO DE IMAGENS PANORÂMICAS EM MÚLTIPLAS FAIXAS DE ALTURA E LARGURA USANDO ALGORITMOS WATERSHED E GRAPH-CUT." COLLOQUIUM EXACTARUM 13, no. 2 (2021): 36–46. http://dx.doi.org/10.5747/ce.2021.v13.n2.e357.

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In this work we developed an algorithm for building panoramas with multiple height and width ranges. For multilinear stitching, images were initially placed in a matrix and partial panoramas with images from the same column are generated. To complete the final panorama, the columns were divided with the help of support points and the neighboring columns were stitched, being reassembled at the end of the process. The stitching was performed with a graph cut algorithm in conjunction with the Watershed algorithm.

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Zhang, Yuqi, Liang Chu, Zixu Wang, He Tong, Jincheng Hu, and Jihao Li. "A Novel Panorama Depth Estimation Framework for Autonomous Driving Scenarios Based on a Vision Transformer." Sensors 24, no. 21 (2024): 7013. http://dx.doi.org/10.3390/s24217013.

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An accurate panorama depth estimation result is crucial to risk perception in autonomous driving practice. In this paper, an innovative framework is presented to address the challenges of imperfect observation and projection fusion in panorama depth estimation, enabling the accurate capture of distances from surrounding images in driving scenarios. First, the Patch Filling method is proposed to alleviate the imperfect observation of panoramic depth in autonomous driving scenarios, which constructs a panoramic depth map based on the sparse distance data provided by the 3D point cloud. Then, in

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See, Zi Siang, Lizbeth Goodman, Craig Hight, et al. "Creating high fidelity 360° virtual reality with high dynamic range spherical panorama images." Virtual Creativity 9, no. 1 (2019): 73–109. http://dx.doi.org/10.1386/vcr_00006_1.

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Abstract This research explores the development of a novel method and apparatus for creating spherical panoramas enhanced with high dynamic range (HDR) for high fidelity Virtual Reality 360 degree (VR360) user experiences. A VR360 interactive panorama presentation using spherical panoramas can provide virtual interactivity and wider viewing coverage; with three degrees of freedom, users can look around in multiple directions within the VR360 experiences, gaining the sense of being in control of their own engagement. This degree of freedom is facilitated by the use of mobile displays or head-mo

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Jin, Xin, Xingfan Zhu, Xinxin Li, et al. "Learning HDR illumination from LDR panorama images." Computers & Electrical Engineering 91 (May 2021): 107057. http://dx.doi.org/10.1016/j.compeleceng.2021.107057.

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Kim, Beom, Sang Lee, and Nam Cho. "Real-time panorama canvas of natural images." IEEE Transactions on Consumer Electronics 57, no. 4 (2011): 1961–68. http://dx.doi.org/10.1109/tce.2011.6131177.

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Gemsa, Andreas, Jan-Henrik Haunert, and Martin Nöllenburg. "Multirow Boundary-Labeling Algorithms for Panorama Images." ACM Transactions on Spatial Algorithms and Systems 1, no. 1 (2015): 1–30. http://dx.doi.org/10.1145/2794299.

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Song, Baosen, Yongqing Fu, and Jinlin Wang. "Automatic Panorama Creation using Multi-row Images." Information Technology Journal 10, no. 10 (2011): 1977–82. http://dx.doi.org/10.3923/itj.2011.1977.1982.

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Li, Jingsi, Jian Wang, and Chenxi Yang. "Research of Rotor Unmanned Aerial Vehicle (UAV) Production and GIS Integration Based on 3D Panorama." E3S Web of Conferences 338 (2022): 01031. http://dx.doi.org/10.1051/e3sconf/202233801031.

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3D panorama technology is a kind of virtual reality technology based on image creation, which is used real photos to show the scene to achieve the effect of immersive virtual roaming, and improve the interactivity between the network platform with the user. Panoramic images, UAV remote sensing and GIS technology is the application and development of new technology of surveying and mapping industry, but apply combination is rarely studied. In this paper, based on rotor unmanned aerial vehicle (UAV) fixed-point hover took photos of different angles using PTGui software to create panorama images

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Ullah, Hayat, Osama Zia, Jun Ho Kim, Kyungjin Han, and Jong Weon Lee. "Automatic 360° Mono-Stereo Panorama Generation Using a Cost-Effective Multi-Camera System." Sensors 20, no. 11 (2020): 3097. http://dx.doi.org/10.3390/s20113097.

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In recent years, 360° videos have gained the attention of researchers due to their versatility and applications in real-world problems. Also, easy access to different visual sensor kits and easily deployable image acquisition devices have played a vital role in the growth of interest in this area by the research community. Recently, several 360° panorama generation systems have demonstrated reasonable quality generated panoramas. However, these systems are equipped with expensive image sensor networks where multiple cameras are mounted in a circular rig with specific overlapping gaps. In this

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Divya, Gopalasetti, and Chinta Chandra Sekhar. "Image Mosaicing for Wide Angle Panorama." International Journal of Electrical and Computer Engineering (IJECE) 5, no. 5 (2015): 1216. http://dx.doi.org/10.11591/ijece.v5i5.pp1216-1226.

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Images are integral part in our daily lives. With a normal camera it is not possible to get a wide angle panorama with high resolution. Image Mosaicing is one of the novel techniques, for combining two or more images of the same scene taken in different views into one image. In the dark areas, the obtained image is a panoramic image with high resolution without mask. But in the case of lighting areas, the resultant image is generating mask. In order to gets wide angle panorama, in the existing system, extracting feature points, finding the best stitching line, Cluster Analysis (CA) and Dynamic

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Zhang, Guofeng, Yi He, Weifeng Chen, Jiaya Jia, and Hujun Bao. "Multi-Viewpoint Panorama Construction With Wide-Baseline Images." IEEE Transactions on Image Processing 25, no. 7 (2016): 3099–111. http://dx.doi.org/10.1109/tip.2016.2535225.

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Shinde, Yugandhar, Kyeongsuk Lee, Beyza Kiper, Makayla Simpson, and Sogand Hasanzadeh. "A Systematic Literature Review on 360° Panoramic Applications in Architecture, Engineering, and Construction (AEC) Industry." Journal of Information Technology in Construction 28 (August 25, 2023): 405–37. http://dx.doi.org/10.36680/j.itcon.2023.021.

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While the advancement of visualization technologies—virtual-reality, augmented-reality, mixed-reality, and extended reality—has long produced opportunities to create more realistic simulated environments to provoke and study natural human behavior, recent interest in applying 360° panoramic visualizations has been increasing across several disciplines due to these technologies’ lower costs, higher presence, and greater immersive-ness. However, the variety of applications of 360° panoramas (both images and videos) is limited in the architecture, engineering, and construction (AEC) domain compar

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Divya, G., and Ch Chandrasekhar. "Image Mosaicing Technique for Wide Angle Panorama." TELKOMNIKA Indonesian Journal of Electrical Engineering 15, no. 3 (2015): 420. http://dx.doi.org/10.11591/tijee.v15i3.1558.

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<p>Images are integral part in our daily lives. With a normal camera it is not possible to get a wide angle panorama with high resolution. Image Mosaicing is one of the novel techniques, for combining two or more images of the same scene taken in different views into one image. In the dark areas, the obtained image is a panoramic image with high resolution without mask. But in the case of lighting areas, the resultant image is generating mask. In order to gets wide angle panorama, in the existing system, extracting feature points, finding the best stitching line, Cluster Analysis (CA) an

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Na, Wei Cong. "A New Algorithm of Fast-Generated Panoramic Images." Advanced Materials Research 393-395 (November 2011): 539–42. http://dx.doi.org/10.4028/www.scientific.net/amr.393-395.539.

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The new algorithm of fast-generated panoramic images this paper puts forward is to extract the feature points of images by the improved SIFT algorithm, and use Euclidean distance combining the K-D tree structure to realize the rapid initial feature matching. Then, based on these initial matching points and the theory of random sampling consistent algorithm, the purification of feature points is realized. At last, the introduction of correction coefficient makes it possible to eliminate fusion ghosts, and HIS space image fusion is applied in order to eliminate the brightness differences. It is

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Zhang, Y. H., C. W. M. Yuen, W. K. Wong, and Chi Wai Kan. "An New Modified Automatic Panoramic Image Stitching Model in Fabric Defect Inspecting Area." Applied Mechanics and Materials 389 (August 2013): 781–88. http://dx.doi.org/10.4028/www.scientific.net/amm.389.781.

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This paper presents some techniques for constructing panoramic image stitching from sequences of images captured by cameras from different angle in garment defects detecting area. The image stitching representation associates a transformation matrix with each input image. In this paper, we formulate stitching as a multi-image matching problem, and use invariant local features to find matches between all of the images. Our method is insensitive to the ordering, orientation, scale and illumination of the input images. It is also insensitive to noise images that are not part of a panorama, and ca

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Shibata, Ryuji, and Hajime Nagahara. "Image-Based Modeling from a High -Resolution Route Panorama." International Journal of Virtual Reality 9, no. 1 (2010): 27–35. http://dx.doi.org/10.20870/ijvr.2010.9.1.2759.

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Image-based modeling methods for generating 3D models from an image sequence have been widely studied. Most of these methods, however, require huge redundant spatio-temporal images to estimate scene depth. This is not an effective use of capturing higher resolution texture. On the other hand, a route panorama, which is a continuous panoramic image along a path, is an efficient way of consolidating information from multiple viewpoints into a single image. A route panorama captured by a line camera also has the advantage of capturing higher resolution easily. In this paper, we propose a method f

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Zheng, Xinli, Jianxin Zou, Shuai Du, and Ping Zhong. "Small Target Detection in Refractive Panorama Surveillance Based on Improved YOLOv8." Sensors 24, no. 3 (2024): 819. http://dx.doi.org/10.3390/s24030819.

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Panoramic imaging is increasingly critical in UAVs and high-altitude surveillance applications. In addressing the challenges of detecting small targets within wide-area, high-resolution panoramic images, particularly issues concerning accuracy and real-time performance, we have proposed an improved lightweight network model based on YOLOv8. This model maintains the original detection speed, while enhancing precision, and reducing the model size and parameter count by 10.6% and 11.69%, respectively. It achieves a 2.9% increase in the overall mAP@0.5 and a 20% improvement in small target detecti

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Hiraga, Alan Kazuo, Francisco Assis da Silva, and Almir Olivette Artero. "ALGORITMOS PARA CONSTRUÇÃO DE PANORAMA DE IMAGENS 360 E VISUALIZAÇÃO." Colloquium Exactarum 5, no. 1 (2013): 12–25. http://dx.doi.org/10.5747/ce.2013.v05.n1.e051.

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This paper presents a methodology for the construction of mosaic images to form360 panorama and an application for viewing. We used the SIFT and RANSAC algorithms commonly found in the literature for matching images. The algorithms for projection, adjustment of images and Blend forsmoothingthe joints were implemented in this paper using the OpenCV Computer Vision library. The methodology of this research techniques were applied to reduce the distortions caused in the joints of successive images, as well as increase the quality of the final panorama and get better performance.The viewer applica

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Jia, Yuan, Zhongyao Li, Lei Zhang, Bin Song, and Rui Song. "Semantic Aware Stitching for Panorama." Sensors 24, no. 11 (2024): 3512. http://dx.doi.org/10.3390/s24113512.

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The most critical aspect of panorama generation is maintaining local semantic consistency. Objects may be projected from different depths in the captured image. When warping the image to a unified canvas, pixels at the semantic boundaries of the different views are significantly misaligned. We propose two lightweight strategies to address this challenge efficiently. First, the original image is segmented as superpixels rather than regular grids to preserve the structure of each cell. We propose effective cost functions to generate the warp matrix for each superpixel. The warp matrix varies pro

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Fu, Yao, Tingting Guo, and Xingfang Zhao. "Intelligent Splicing Method of Virtual Reality Lingnan Cultural Heritage Panorama Based on Automatic Machine Learning." Mobile Information Systems 2021 (August 19, 2021): 1–10. http://dx.doi.org/10.1155/2021/8693436.

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With the increasing expansion of virtual reality application fields and the complexity of application content, the demand for real-time rendering of realistic graphics has increased sharply. This research mainly discusses the intelligent mosaic method of virtual reality Lingnan cultural heritage panorama based on automatic machine learning. In order to effectively make up for the impact of the insufficiency of the collection process on the quality of the final panoramic image of Lingnan cultural heritage, it is necessary to minimize the irregular rotation of the camera and collect images accor

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Li, Peng Jun, and Jian Zeng Li. "A Method for UAV’s Images Seamless Stitching." Applied Mechanics and Materials 556-562 (May 2014): 5076–80. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.5076.

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Image stitching is an important technology to build a panorama image by combing several images with overlapped areas. In this study, we develop a image seamless mosaic and fusion technique to obtain a prefect panorama image after stitching. At first, it is usingspeeded-up robust features(SURF) algorithm to extract features form the images for stitching. Then,k-nearest neighbors(KNN) method is used to match the feature points andRandom sample consensus(RANSAC) algorithm is used to clear them. Thirdly, a method is improved to achieve seamless stitching based on optimal suture of the overlapped a

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Chen, Zhaoxi, Guangcong Wang, and Ziwei Liu. "Text2Light." ACM Transactions on Graphics 41, no. 6 (2022): 1–16. http://dx.doi.org/10.1145/3550454.3555447.

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High-quality HDRIs (High Dynamic Range Images), typically HDR panoramas, are one of the most popular ways to create photorealistic lighting and 360-degree reflections of 3D scenes in graphics. Given the difficulty of capturing HDRIs, a versatile and controllable generative model is highly desired, where layman users can intuitively control the generation process. However, existing state-of-the-art methods still struggle to synthesize high-quality panoramas for complex scenes. In this work, we propose a zero-shot text-driven framework, Text2Light , to generate 4K+ resolution HDRIs without paire

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Deshmukh, Anmol Raju. "Panoramic View Creation using Image Processing." International Journal for Research in Applied Science and Engineering Technology 11, no. 6 (2023): 571–75. http://dx.doi.org/10.22214/ijraset.2023.53555.

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Abstract: The method of integrating many photographs with overlapping fields of view to create a segmented panorama or highresolution image is known as image stitching or photo stitching. The term "stitching" refers to the process of utilising a computer to combine small images into a larger one, ideally without leaving any trace that it was produced artificially. Among the first and most popular in computer vision are algorithms for aligning images and creating seamless photomosaics. The high quality photomosaics utilised to construct today's digital maps and satellite images are made using i

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Ao, Y., J. Wang, M. Zhou, R. C. Lindenbergh, and M. Y. Yang. "FULLY CONVOLUTIONAL NETWORKS FOR STREET FURNITURE IDENTIFICATION IN PANORAMA IMAGES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W13 (June 4, 2019): 13–20. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w13-13-2019.

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<p><strong>Abstract.</strong> Panoramic images are widely used in many scenes, especially in virtual reality and street view capture. However, they are new for street furniture identification which is usually based on mobile laser scanning point cloud data or conventional 2D images. This study proposes to perform semantic segmentation on panoramic images and transformed images to separate light poles and traffic signs from background implemented by pre-trained Fully Convolutional Networks (FCN). FCN is the most important model for deep learning applied on semantic segmentatio

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Feriozzi, R., A. Meschini, D. Rossi, and F. Sicuranza. "VIRTUAL TOURS FOR SMART CITIES: A COMPARATIVE PHOTOGRAMMETRIC APPROACH FOR LOCATING HOT-SPOTS IN SPHERICAL PANORAMAS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W9 (January 31, 2019): 347–53. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w9-347-2019.

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<p><strong>Abstract.</strong> The paper aims to investigate the possibilities of using the panorama-based VR to survey data related to that set of activities for planning and management of urban areas, belonging to the Smart Cities strategies. The core of our workflow is to facilitate the visualization of the data produced by the infrastructures of the Smart Cities. A graphical interface based on spherical panoramas, instead of complex three-dimensional could help the user/citizen of the city to better know the operation related to control units spread in the urban area. From

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Jeong, Jinwook, and Kyungkoo Jun. "A Novel Seam Finding Method Using Downscaling and Cost for Image Stitching." Journal of Sensors 2016 (2016): 1–8. http://dx.doi.org/10.1155/2016/5258473.

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Seaming finding is an important step for creating panorama images because it smoothes away differences observed at boundaries between stitched images. We propose an improved seam finding method in which we define a cost function to measure the discrepancies that boundary pixels cause. We are also able to improve computing complexity by avoiding finding a seam over the whole area of overlapped region. Instead, we use a downscaled version of overlapped area to approximate a seam and then interpolate the seam to the original region. From experiments to generate panorama images, we compare our met

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Kozlova, N., A. Zubarev, I. Karachevtseva, et al. "Some aspects of modern photogrammetric image processing of Soviet lunokhod panoramas and their implemenation for new studies of lunar surface." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-4 (April 23, 2014): 121–26. http://dx.doi.org/10.5194/isprsarchives-xl-4-121-2014.

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Recently the Lunar Reconnaissance Orbiter (LRO) has obtained images, which cover landing sites from previous missions to the Moon in unprecedented high resolution (up to 0.3 m/pixel). These new data allow us to carry out a precision mapping of the Lunokhod landing sites, combining orbital high resolution images with surface panoramas taken by the rovers during their missions. Unfortunately, a lot of supplementary information about the missions, the rovers and their instrumentation is lost, which includes timing information and exterior orientation parameters. So, we have developed new methods

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Chen, Hui. "Gradient-based approach for fine registration of panorama images." Journal of Computer Science and Technology 19, no. 5 (2004): 691–97. http://dx.doi.org/10.1007/bf02945596.

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Zhu, Minchen, Weizhi Wang, Binghan Liu, and Jingshan Huang. "A Fast Image Stitching Algorithm via Multiple-Constraint Corner Matching." Mathematical Problems in Engineering 2013 (2013): 1–6. http://dx.doi.org/10.1155/2013/157847.

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Video panoramic image stitching is in general challenging because there is small overlapping between original images, and stitching processes are therefore extremely time consuming. We present a new algorithm in this paper. Our contribution can be summarized as a multiple-constraint corner matching process and the resultant faster image stitching. The traditional Random Sample Consensus (RANSAC) algorithm is inefficient, especially when stitching a large number of images and when these images have quite similar features. We first filter out many inappropriate corners according to their positio

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Liu, Yi, Jia Liu, and Zhi Jun Cen. "Research of the Cylindrical Surface of the Panorama on the Mobile Terminal." Applied Mechanics and Materials 644-650 (September 2014): 4395–98. http://dx.doi.org/10.4028/www.scientific.net/amm.644-650.4395.

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Describe the panorama of the build process, use a matching algorithm based on feature line to calculate the offset, combine with a smooth linear image fusion algorithm, use fade and the way to achieve image fusion splicing, optimization and related algorithms proposed cylinders panorama software design, the perfect panorama of modern technology and smart mobile devices achieves a combination of hardware-based panorama shooting android system and browser,Stitching speed, lifelike images.

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