Cited 2 time in webofscience Cited 3 time in scopus

A Perceptual Visual Feature Extraction Method Achieved by Imitating V1 and V4 of the Human Visual System

Title
A Perceptual Visual Feature Extraction Method Achieved by Imitating V1 and V4 of the Human Visual System
Authors
Kim, SunghoKwon, SoonKweon, In So
DGIST Authors
Kwon, Soon
Issue Date
2013-12
Citation
Cognitive Computation, 5(4), 610-628
Type
Article
Article Type
Article
Keywords
CurvatureDetectorsDominant OrientationEncoding (Symbols)Feature ExtractionHuman Visual SystemObject RecognitionObject Recognition TestsPerceptual FeatureShape EncodingVisual FeatureVisual Feature ExtractionVisual Part Detector
ISSN
1866-9956
Abstract
In this paper, we present a new shape encoding method for object recognition. We first introduce a neuro-physiologically inspired visual part detector and shape encoder. The optimal form of the visual part detector is a combination of a circular symmetry detector and a corner-like structure detector. A perceptually novel shape descriptor, known as the curvature-orientation descriptor, is then discussed. This descriptor encodes the curvature as well as the dominant orientation. The perceptual shape encoder enhances the performance of feature matching and object recognition taken from standard test images. The results from the repeatability and object recognition tests validate the feasibility of the proposed perceptual feature extraction method. © 2012 Springer Science+Business Media New York.
URI
http://hdl.handle.net/20.500.11750/5287
DOI
10.1007/s12559-012-9194-8
Publisher
SPRINGER
Related Researcher
Files:
There are no files associated with this item.
Collection:
Convergence Research Center for Future Automotive Technology1. Journal Articles


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