Results 131 to 140 of about 1,043 (165)
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Embedding Gestalt laws in Markov random fields
IEEE Transactions on Pattern Analysis and Machine Intelligence, 1999The goal of this paper is to study a mathematical framework of 2D object shape modeling and learning for middle level vision problems, such as image segmentation and perceptual organization. For this purpose, we pursue generic shape models which characterize the most common features of 2D object shapes.
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Gestalt laws based tracklets analysis for human crowd understanding
Pattern Recognition, 2018Abstract Crowded scene analysis is a popular research topic due to its great application potentials, such as intelligent video surveillance and crowd density estimation. In this paper, we propose a novel approach to detecting crowd groups and learning semantic regions with a unified hierarchical clustering framework.
Weiqi Zhao +2 more
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A Markov Random Field Model for Image Segmentation Based on Gestalt Laws
Lecture Notes in Computer Science, 2011This paper proposes a Markov Random Field model for image segmentation based on statistical characteristics of contours. Different from previous approaches, we use Gestalt Laws of Perceptual Organization as natural constraints for segmentation by integrating contour orientations into segmentation labels.
Hui Wei
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Identifying semantic blocks in Web pages using Gestalt laws of grouping
World Wide Web, 2015Semantic block identification is an approach to retrieve information from Web pages and applications. As Website design evolves, however, traditional methodologies cannot perform well any more. This paper proposes a new model to merge Web page content into semantic blocks by simulating human perception.
Zhen Xu, James Miller 0001
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Gestalt Laws in User Experience Design: A NeuroIS Research Agenda
Lecture Notes in Information Systems and OrganisationRené Riedl, Riedl René
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Segmentation of Natural Scenes Based on Visual Attention and Gestalt Grouping Laws
2013 IEEE International Conference on Systems, Man, and Cybernetics, 2013Detection of salient regions in images of natural scenes can be applied as a pre-processing step for computer vision algorithms as image segmentation, content based image retrieval, object recognition or image compression. This paper presents a visual attention method that analyses the input image in multiple scales using stability information of image
Rafael G. Mesquita, Carlos A. B. Mello
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Embedding Gestalt Laws on Conditional Random Field for Image Segmentation
2011We propose a higher order conditional random field built over a graph of superpixels for partitioning natural images into coherent segments. Our model operates at both superpixel and segment levels and includes potentials that capture similarity, proximity, curvilinear continuity and familiar configuration.
Olfa Besbes +2 more
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Decomposition and construction of object based on law of closure in Gestalt psychology
2017 IEEE 6th Global Conference on Consumer Electronics (GCCE), 2017People can easily perceive object with incompletion boundary or combination of discontinuous edges. However, common approaches are difficult to segment an entire object without referring to completion contour. This paper introduces a scheme to reify an object based on law of closure in Gestalt psychology. The proposed scheme acquires initial boundaries
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Neuropsychologia, 1989
An embedded figures task was used to investigate hemispheric specialization for visual parsing. Error data from 40 normal right-handed males revealed a right-hemisphere advantage for parsing governed by the Gestalt laws of organization. In contrast, for parsing that violated those laws, subjects who could perform such parsing at better-than-chance ...
M H, Van Kleeck, S M, Kosslyn
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An embedded figures task was used to investigate hemispheric specialization for visual parsing. Error data from 40 normal right-handed males revealed a right-hemisphere advantage for parsing governed by the Gestalt laws of organization. In contrast, for parsing that violated those laws, subjects who could perform such parsing at better-than-chance ...
M H, Van Kleeck, S M, Kosslyn
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Neural Recognition of Dashed Curves with Gestalt Law of Continuity
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022Hanyuan Liu +3 more
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