Please use this identifier to cite or link to this item: https://doi.org/10.1007/978-3-642-24955-6_27
Title: Visual cortex inspired junction detection
Authors: Ge, S.S. 
Shen, C.
He, H.
Keywords: Junction Detection
Primal Sketch
Visual Cortex
Issue Date: 2011
Source: Ge, S.S.,Shen, C.,He, H. (2011). Visual cortex inspired junction detection. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) 7062 LNCS (PART 1) : 225-232. ScholarBank@NUS Repository. https://doi.org/10.1007/978-3-642-24955-6_27
Abstract: This paper proposes a visual cortex inspired framework to detect and discriminate junction points in a visual scene. Inspired by the biological research in primary visual cortex V1 and secondary visual cortex V2, banks of filters are invented to simulate the response of complex cells, horizontal lateral connections and angle detectors. Before junction detection, contour enhancement and texture suppression are performed in determining the sketch of a scene. The proposed algorithm can extract primal sketch of the scene and detect the response of junction points in the scene. Experiments prove the good performance on scenes with man-made structures. © 2011 Springer-Verlag.
Source Title: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
URI: http://scholarbank.nus.edu.sg/handle/10635/72172
ISBN: 9783642249549
ISSN: 03029743
DOI: 10.1007/978-3-642-24955-6_27
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