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Recent Advances in Color Object Recognition: A Review

Published on January 2018 by Mahesh M. Solankar, Pravin L. Yannawar
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International Conference on Cognitive Knowledge Engineering
Foundation of Computer Science USA
ICKE2016 - Number 2
January 2018
Authors: Mahesh M. Solankar, Pravin L. Yannawar
bd71d45b-3b27-4a23-adef-96fb0ea17efa

Mahesh M. Solankar, Pravin L. Yannawar . Recent Advances in Color Object Recognition: A Review. International Conference on Cognitive Knowledge Engineering. ICKE2016, 2 (January 2018), 33-41.

@article{
author = { Mahesh M. Solankar, Pravin L. Yannawar },
title = { Recent Advances in Color Object Recognition: A Review },
journal = { International Conference on Cognitive Knowledge Engineering },
issue_date = { January 2018 },
volume = { ICKE2016 },
number = { 2 },
month = { January },
year = { 2018 },
issn = 0975-8887,
pages = { 33-41 },
numpages = 9,
url = { /proceedings/icke2016/number2/28954-6092/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Cognitive Knowledge Engineering
%A Mahesh M. Solankar
%A Pravin L. Yannawar
%T Recent Advances in Color Object Recognition: A Review
%J International Conference on Cognitive Knowledge Engineering
%@ 0975-8887
%V ICKE2016
%N 2
%P 33-41
%D 2018
%I International Journal of Computer Applications
Abstract

The color object recognition is the unsolved problem in computer vision. The numbers of researchers are working to solve this problem. Various approaches to study the visual (color recognition) and geometric (shape recognition) properties of objects have been proposed. Objects are classified based on its features. In this paper various object properties are discussed. This paper reviewed the RGB, CMY and HSV color models and Texture information for visual recognition. As the surface color gets affected with the visible spectrum, solution to this illumination problem is also discussed. Objects Geometric properties of has a key role in physical representation of an object. The geometric properties like corners, edges, blobs, shapes, and region properties discussed. Finally, the four types of approaches like Appearance Base object recognition, Shape Based Object Recognition, Deformable part Based Object Recognition and Appearance plus Shape Based Object Recognition approaches are discussed.

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Index Terms

Computer Science
Information Sciences

Keywords

Object Recognition Visual Properties Geometric Properties Deformable Parts