Relevant bibliographies by topics / Field's Visual Information Transformation Test

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  2. Dissertations / Theses
  3. Conference papers

Academic literature on the topic 'Field's Visual Information Transformation Test'

Author: Grafiati
Published: 4 June 2021
Last updated: 10 February 2022

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Journal articles on the topic "Field's Visual Information Transformation Test"

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Sarrouti, Mourad, Asma Ben Abacha, and Dina Demner-Fushman. "Goal-Driven Visual Question Generation from Radiology Images." Information 12, no. 8 (2021): 334. http://dx.doi.org/10.3390/info12080334.

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Visual Question Generation (VQG) from images is a rising research topic in both fields of natural language processing and computer vision. Although there are some recent efforts towards generating questions from images in the open domain, the VQG task in the medical domain has not been well-studied so far due to the lack of labeled data. In this paper, we introduce a goal-driven VQG approach for radiology images called VQGRaD that generates questions targeting specific image aspects such as modality and abnormality. In particular, we study generating natural language questions based on the vis
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Valiente García, David, Lorenzo Fernández Rojo, Arturo Gil Aparicio, Luis Payá Castelló, and Oscar Reinoso García. "Visual Odometry through Appearance- and Feature-Based Method with Omnidirectional Images." Journal of Robotics 2012 (2012): 1–13. http://dx.doi.org/10.1155/2012/797063.

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In the field of mobile autonomous robots, visual odometry entails the retrieval of a motion transformation between two consecutive poses of the robot by means of a camera sensor solely. A visual odometry provides an essential information for trajectory estimation in problems such as Localization and SLAM (Simultaneous Localization and Mapping). In this work we present a motion estimation based on a single omnidirectional camera. We exploited the maximized horizontal field of view provided by this camera, which allows us to encode large scene information into the same image. The estimation of t
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Dowell, Catherine, Alen Hajnal, Wim Pouw, and Jeffrey B. Wagman. "Visual and Haptic Perception of Affordances of Feelies." Perception 49, no. 9 (2020): 905–25. http://dx.doi.org/10.1177/0301006620946532.

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Most objects have well-defined affordances. Investigating perception of affordances of objects that were not created for a specific purpose would provide insight into how affordances are perceived. In addition, comparison of perception of affordances for such objects across different exploratory modalities (visual vs. haptic) would offer a strong test of the lawfulness of information about affordances (i.e., the invariance of such information over transformation). Along these lines, “feelies”— objects created by Gibson with no obvious function and unlike any common object—could shed light on t
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Liu, Xiaolin, and Robert A. Scheidt. "Contributions of Online Visual Feedback to the Learning and Generalization of Novel Finger Coordination Patterns." Journal of Neurophysiology 99, no. 5 (2008): 2546–57. http://dx.doi.org/10.1152/jn.01044.2007.

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We explored how people learn new ways to move objects through space using neuromuscular control signals having more degrees of freedom than needed to unambiguously specify object location. Subjects wore an instrumented glove that recorded finger motions. A linear transformation matrix projected joint angle signals (a high-dimensional control vector) onto a two-dimensional cursor position on a video monitor. We assessed how visual information influences learning and generalization of novel finger coordination patterns as subjects practiced using hand gestures to manipulate cursor location. Thre
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Muhammad, Safdar, Ming Ronnier Luo, and Xiao Yu Liu. "Improvement of JPEG for Color Images by Incorporation of CAM02-UCS and Cubic Spline Interpolation." Applied Mechanics and Materials 731 (January 2015): 7–12. http://dx.doi.org/10.4028/www.scientific.net/amm.731.7.

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Image data is always a major fraction of the huge data to be stored or transmitted. That is why researchers have been evolved in finding out different ways and techniques to increase compression rate and reduce information loss. This research investigated the improvement of JPEG compression algorithm by incorporating cubic spline interpolation (CSI) in the sampling stage and four different color spaces in the color space transformation stage. JPEG 1992 standard was considered and results were compared with previous works done by different researchers. The sampling and color space transformatio
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NIITSUMA, HIROTAKA. "A NON-PARAMETRIC TRAINABLE OBJECT-DETECTION MODEL USING A CONCEPT OF RETINOTOPIC SAMPLING." International Journal of Computational Intelligence and Applications 04, no. 02 (2004): 115–30. http://dx.doi.org/10.1142/s1469026804001185.

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A retina has a space-variant sampling mechanism and an orientation-sensitive mechanism. The space-variant sampling mechanism of the retina is called Retinotopic Sampling (RS). With these mechanisms, the object-detection is formulated as finding an appropriate coordinate transformation from a coordinate system on the input image to the retina. The appropriate coordinate transformation is found using maximum likelihood method. By using the model based on RS, we formulate a kernel function as an analytical function of the information on the input image, the position and the size of the object in
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Zhao, Binglei, Chuan Zhu, and Sergio Della Sala. "Which properties of the visual stimuli predict the type of representation used in mental rotation?" Quarterly Journal of Experimental Psychology 72, no. 10 (2019): 2462–73. http://dx.doi.org/10.1177/1747021819846832.

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Two modes of internal representation, holistic and piecemeal transformation, have been reported as a means to perform mental rotation (MR) tasks. The stimulus complexity effect has been proposed as an indicator to disentangle between these two representation types. However, the complexity effect has not been fully confirmed owing to the fact that different performances could result from different types of stimuli. Moreover, whether the non-mirror foils play a role in forcing participants to encode all the information from the stimuli in MR tasks is still under debate. This study aims at testin
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Han, Youkyung, Jaewan Choi, Jinha Jung, Anjin Chang, Sungchan Oh, and Junho Yeom. "Automated Coregistration of Multisensor Orthophotos Generated from Unmanned Aerial Vehicle Platforms." Journal of Sensors 2019 (April 14, 2019): 1–10. http://dx.doi.org/10.1155/2019/2962734.

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Image coregistration is a key preprocessing step to ensure the effective application of very-high-resolution (VHR) orthophotos generated from multisensor images acquired from unmanned aerial vehicle (UAV) platforms. The most accurate method to align an orthophoto is the installation of air-photo targets at a test site prior to flight image acquisition, and these targets were used as ground control points (GCPs) for georeferencing and georectification. However, there are time and cost limitations related to installing the targets and conducting field surveys on the targets during every flight.
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Mezzino, D., L. Chan, M. Santana Quintero, et al. "BUILT HERITAGE DOCUMENTATION AND MANAGEMENT: AN INTEGRATED CONSERVATION APPROACH IN BAGAN." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-2/W2 (August 16, 2017): 143–50. http://dx.doi.org/10.5194/isprs-annals-iv-2-w2-143-2017.

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Good practices in heritage conservation are based on accurate information about conditions, materials, and transformation of built heritage sites. Therefore, heritage site documentation and its analysis are essential parts for their conservation. In addition, the devastating effects of recent catastrophic events in different geographical areas have highly affected cultural heritage places. Such areas include and are not limited to South Europe, South East Asia, and Central America. Within this framework, appropriate acquisition of information can effectively provide tools for the decision-maki
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Zhou, Zhigang, and Jun Ling. "Calculation Method for Grading Size and Grading Bounding Box of Virtual Aggregate Based on DEM." Mathematical Problems in Engineering 2021 (June 25, 2021): 1–12. http://dx.doi.org/10.1155/2021/6659285.

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The grading size, which can be defined as the side length of the smallest square hole through which an aggregate with irregular shape can directly pass, is an important morphology parameter and can be used to calculate the gradation of mixture material. The grading bounding box, which can be defined as the circumscribed cuboid with central axis length being the grading size, is an important visual tool for observing the size and direction of the aggregate. Virtual test to calculate the grading size of a virtual aggregate is environmentally friendly and efficient, but the result provided by cur
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Dissertations / Theses on the topic "Field's Visual Information Transformation Test"

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Zirngast, Wendy Margaret, and n/a. "The relationship of drawing skills to visual perceptual abilities in year 7 students." University of Canberra. Education, 1987. http://erl.canberra.edu.au./public/adt-AUC20061112.123539.

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The aim of this field study was to investigate the relationship between visual perceptual processes and drawing ability in Year 7 students in the Australian Capital Territory. A random sample of five classes from five High Schools, consisting of 113 year 7 students, was tested for their ability in representational and memory drawing, and a sample of good drawers was chosen by a panel of five Independent judges. The drawing ability of the "Good" Drawers Sample was tested by means of Field's Visual Information Transformation Test (VIT), and the visual perceptual processes were tested using MacGr
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Conference papers on the topic "Field's Visual Information Transformation Test"

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Williams, Christopher B., John Gero, Yoon Lee, and Marie Paretti. "Exploring Spatial Reasoning Ability and Design Cognition in Undergraduate Engineering Students." In ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2010. http://dx.doi.org/10.1115/detc2010-28925.

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This paper presents preliminary results from the first phase of a longitudinal study of design cognition and the effects of design education on design practice. The study aims to monitor the development of engineering design thinking through a three-year protocol study of control and experimental groups of engineering students. Using innovations in cognitive science that include ontologically-based coding of protocols and new methods of protocol analysis, the study is intended to characterize students’ cognitive development, identify differences over time, and relate those differences to stude
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Bernier, Edgar, and Sebastien Perrier. "Natural Language Processing and Text Mining Approaches in Production Shortfalls Analytics: Methodology, Case-Study and Value in the North Sea." In SPE Offshore Europe Conference & Exhibition. SPE, 2021. http://dx.doi.org/10.2118/205443-ms.

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Abstract Maximizing operational efficiency is a critical challenge in oil and gas production, particularly important for mature assets in the North Sea. The causes of production shortfalls are numerous, distributed across a wide range of disciplines, technical and non-technical causes. The primary reason to apply Natural Language Processing (NLP) and text mining on several years of shortfall history was the need to support efficiently the evaluation of digital transformation use-case screenings and value mapping exercises, through a proper mapping of the issues faced. Obviously, this mapping c
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Venugopal, Kalyanaraman, Dvijesh Shastri, Suryanarayanan Radhakrishnan, and Ramanan Krishnamoorti. "An Online Microcredential Certification Program to Upskill Petrotechnical Professionals in Data Analytics and Machine Learning with an Upstream Oil and Gas Industry Focus." In SPE Annual Technical Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/205921-ms.

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Abstract The upstream oil and gas industry's digital transformation over the last few years has accelerated because of the COVID-19 pandemic. Data analytics and machine learning are key components of this digital transformation and have become essential skills for experienced petrotechnical professionals (PTPs) and aspiring entrants into the field. The objective of our work was to design and deliver a practical, engaging, and online microcredential certification program in upstream energy data analytics for PTPs. The program was conceived as a collaboration between academia (University of Hous
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Cho, Uichung, Kristin L. Wood, and Richard H. Crawford. "Novel Empirical Similarity Method for the Reliable Product Test With Rapid Prototypes." In ASME 1998 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1998. http://dx.doi.org/10.1115/detc98/dac-5605.

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Abstract Contemporary industries are devoting increasing attention to the product development process, due to tight market shares and the abridged product life cycle. Reliable scaled product testing with rapid prototypes has the potential to improve these processes by replacing traditional costly and time-consuming product tests. In this context, rapid prototypes provide visual, ergonomic, and functional information with minimal time delay. Among the information classes, reliable functional information is least realized because of several features of rapid prototypes: (1) limited material choi
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