scholarly journals Concavities count for less in symmetry perception

2007 ◽  
Vol 14 (6) ◽  
pp. 1212-1217 ◽  
Author(s):  
Johan Hulleman ◽  
Christian N. L. Olivers
Keyword(s):  
Symmetry Perception

scholarly journals Symmetry perception with spiking neural networks

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jonathan K. George ◽  
Cesare Soci ◽  
Mario Miscuglio ◽  
Volker J. Sorger
Keyword(s):  
Neural Networks ◽  
Mirror Symmetry ◽  
Satellite Image ◽  
Image Data ◽  
Coincidence Detection ◽  
Spiking Neural Networks ◽  
Feed Forward Neural Network ◽  
Neuromorphic Computing ◽  
Symmetry Perception ◽  
High Level

AbstractMirror symmetry is an abundant feature in both nature and technology. Its successful detection is critical for perception procedures based on visual stimuli and requires organizational processes. Neuromorphic computing, utilizing brain-mimicked networks, could be a technology-solution providing such perceptual organization functionality, and furthermore has made tremendous advances in computing efficiency by applying a spiking model of information. Spiking models inherently maximize efficiency in noisy environments by placing the energy of the signal in a minimal time. However, many neuromorphic computing models ignore time delay between nodes, choosing instead to approximate connections between neurons as instantaneous weighting. With this assumption, many complex time interactions of spiking neurons are lost. Here, we show that the coincidence detection property of a spiking-based feed-forward neural network enables mirror symmetry. Testing this algorithm exemplary on geospatial satellite image data sets reveals how symmetry density enables automated recognition of man-made structures over vegetation. We further demonstrate that the addition of noise improves feature detectability of an image through coincidence point generation. The ability to obtain mirror symmetry from spiking neural networks can be a powerful tool for applications in image-based rendering, computer graphics, robotics, photo interpretation, image retrieval, video analysis and annotation, multi-media and may help accelerating the brain-machine interconnection. More importantly it enables a technology pathway in bridging the gap between the low-level incoming sensor stimuli and high-level interpretation of these inputs as recognized objects and scenes in the world.

scholarly journals Human Visual Perception of Two-Dimensional Symmetry

2017 ◽  
Author(s):  
Jeremy Cole ◽  
David Reitter ◽  
Yanxi Liu
Keyword(s):  
Visual Perception ◽  
Shortest Path ◽  
Pattern Perception ◽  
Two Dimensional ◽  
Human Visual Perception ◽  
Symmetry Perception ◽  
Wallpaper Groups

Most literature on symmetry perception has focused on bilateralreflection symmetry with some suggesting that it isthe only type of symmetry humans can perceive (Wilson &Wilkinson, 2002). Using image stimuli generated from themathematically well-defined seventeen wallpaper groups, thisstudy demonstrates that humans can discriminate various symmetriesfound in 2D wallpaper patterns (Liu, Hel-Or, Kaplan,Van Gool, et al., 2010). Furthermore, the results demonstratethe features which contribute to wallpaper pattern perception.All wallpaper groups but one were found to be reliably distinguishable(p < 0:05). Additionally, as wallpaper patterns canbe arranged in a hierarchy, we propose a metric to quantify thesimilarity of their perception using the shortest path in this hierarchy.This subgroup distance was found to be a factor in alikely model of pattern perception.

Empirical aspects of symmetry perception

1995 ◽  
Vol 9 (1) ◽  
pp. 1-7 ◽  
Author(s):  
Christopher W. Tyler
Keyword(s):  
Symmetry Perception

scholarly journals Are there capacity limitations in symmetry perception?

2004 ◽  
Vol 11 (5) ◽  
pp. 862-869 ◽  
Author(s):  
Liqiang Huang ◽  
Harold Pashler ◽  
Justin A. Junge
Keyword(s):  
Capacity Limitations ◽  
Symmetry Perception

scholarly journals Neural correlates associated with superior tactile symmetry perception in the early blind

Cortex ◽  
2015 ◽  
Vol 63 ◽  
pp. 104-117 ◽  
Author(s):  
Corinna Bauer ◽  
Lindsay Yazzolino ◽  
Gabriella Hirsch ◽  
Zaira Cattaneo ◽  
Tomaso Vecchi ◽  
...  
Keyword(s):  
Neural Correlates ◽  
Symmetry Perception

Impaired and superior mirror symmetry perception in autism

Autism ◽  
2012 ◽  
Vol 17 (1) ◽  
pp. 117-118 ◽  
Author(s):  
Christine M. Falter
Keyword(s):  
Mirror Symmetry ◽  
Symmetry Perception

Symmetry perception in humans and macaques

2005 ◽  
Vol 9 (9) ◽  
pp. 405-406 ◽  
Author(s):  
Diane M. Beck ◽  
Mark A. Pinsk ◽  
Sabine Kastner
Keyword(s):  
Symmetry Perception

Symmetry perception and affective responses: A combined EEG/EMG study

2012 ◽  
Vol 50 (14) ◽  
pp. 3250-3261 ◽  
Author(s):  
Alexis D.J. Makin ◽  
Moon M Wilton ◽  
Anna Pecchinenda ◽  
Marco Bertamini
Keyword(s):  
Affective Responses ◽  
Symmetry Perception

Texture Discrimination and the Analysis of Proximity

Perception ◽  
1979 ◽  
Vol 8 (1) ◽  
pp. 75-91 ◽  
Author(s):  
John Fox ◽  
John E W Mayhew
Keyword(s):  
Visual Processing ◽  
Additional Data ◽  
Analysis Model ◽  
Texture Discrimination ◽  
Proximity Analysis ◽  
Visual Processes ◽  
Early Visual Processing ◽  
Satisfactory Account ◽  
Symmetry Perception ◽  
New Phenomena

A major theory of early visual processing has recently been proposed by Marr, which considers a number of aspects of visual perception in great detail, including grouping and texture discrimination. New phenomena associated with texture discrimination are described and experiments reported which allow a preliminary comparison of Marr's theory, as it applies to texture discrimination, with more established theories such as that due to Julesz. One experiment produced results which are clearly consistent with Marr's account, but the ability of his theory to deal with additional data on region suppression is not established. The theory of the analysis of proximity relations proposed by Fox offers a broadly satisfactory account of many texture perception results, while relying on the more fundamental parts of Marr's theory of primitive visual processes to deal with the remainder. A further attraction of proximity analysis is that it may shed new light on the classical paradox of symmetry perception. Some ways in which the preliminary proximity analysis model is incomplete are discussed, and it is concluded that development of the model may be profitable for theories of early visual processing.

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