Results 161 to 170 of about 41,641 (200)
Some of the next articles are maybe not open access.
Modeling Gestalt laws for classification
9th IEEE International Conference on Cognitive Informatics (ICCI'10), 2010The k-nearest neighbors classifier is simple and often results in good classification performance on problems with unknown and non-normal distributions. However, its selected nearest neighbors on noisy, sparse, or imbalanced data are often inconsistent with our intuition and in turn leads to the worse performance.
Guihua Wen +3 more
openaire +1 more source
Computational Layout Perception using Gestalt Laws
Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems, 2016We present preliminary results on computational perception of interactive layouts. Our goal is to algorithmically estimate how users perceive a layout. Potential applications range from automated usability evaluation to computer-generated and adaptive interfaces.
Janin Koch, Antti Oulasvirta
openaire +1 more source
Gestalt: From Phenomena to Laws
2000The Gestalt phenomena of grouping in space and in space-time (proximity, similarity, good continuation, common fate, apparent motion and so on) are an essential foundation of perception. Yet they have remained fairly vague, experimentally intractable, and unqualified.
Michael Kubovy, Sergei Gepshtein
openaire +1 more source
Gestalt laws in vision and haptics
2021This thesis was scanned from the print manuscript for digital preservation and is copyright the author. Researchers can access this thesis by asking their local university, institution or public library to make a request on their behalf. Monash staff and postgraduate students can use the link in the References field.
openaire +1 more source
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
openaire +1 more source
Interest point localization based on edge detection according to gestalt laws
2017 2nd IEEE International Conference on Computational Intelligence and Applications (ICCIA), 2017The paper proposes a method for grouping fragments of contours of objects in the images of microscopic parasitological examinations, characterized by high transparency of analyzed objects. The method is based on a graphical representation of the edges in vector form, allowing to substantially reduce the required calculations.
Patryk Najgebauer +2 more
openaire +1 more source
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
R.G. Mesquita, C.A.B. Mello
openaire +1 more source
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
openaire +1 more source
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
openaire +2 more sources
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
openaire +2 more sources