NDLI: Pruning and Weighting of Keypoints Using the HSI Color Space for Image Recognition

Content Provider	IEEE Xplore Digital Library
Author	Shao-Hu Peng Deok-Hwan Kim Seok-Lyong Lee Chin-Wan Chung
Copyright Year	2008
Description	Author affiliation: Dept of EECS, KAIST, Daejeon (Chin-Wan Chung) \|\| Sch. of Ind. & Manage. Eng., Hankuk Univ. of Foreign Studies, Seoul (Seok-Lyong Lee) \|\| Dept of Electron. Eng., Inha Univ., Incheon (Shao-Hu Peng; Deok-Hwan Kim)
Abstract	The detection of the stable local image features is one of the most critical tasks for many object recognition algorithms. The Scale Invariant Feature Transform (SIFT) has been shown to be effective to the image matching or object recognition. However, the large number of features generated by the SIFT is a disadvantage for the real time application. In this paper, we present a novel approach to detect more important local features by finding the higher information keypoints (HIKs). An input color image is firstly decomposed into an intensity image, a hue image and a saturation image. Then we detect the HIKs in these color component images in terms of the keypoint positions. Furthermore, a weight for each HIK is assigned according to the position relationship of the keypoints to improve the matching accuracy. Experiments show that the proposed approach can achieve higher matching accuracy and reduce the matching time by using the HIKs and their weights.
Starting Page	346
Ending Page	351
File Size	433394
Page Count	6
File Format	PDF
ISBN	9780769534077
DOI	10.1109/ICCIT.2008.41
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-11-11
Publisher Place	South Korea
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image recognition Image retrieval Object recognition Information technology keypoints Industrial electronics Object Recognition Image Matching Color Space Image color analysis Image Retrieval Image matching Space technology Detectors Object detection
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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