NDLI: Corner detection with covariance propagation

Content Provider	IEEE Xplore Digital Library
Author	Qiang Ji Haralick, R.M.
Copyright Year	1997
Description	Author affiliation: Intelligent Syst. Lab., Washington Univ., Seattle, WA, USA (Qiang Ji)
Abstract	This paper presents a statistical approach for detecting corners from chain encoded digital arcs. An arc point is declared as a corner if the estimated parameters of the two fitted lines of the two arc segments immediately to the right and left of the are point are statistically significantly different. The corner detection algorithm consists of two steps: corner detection and optimization. While corner detection involves statistically identifying the most likely corner points along an arc sequence, corner optimization deals with improving the locational errors of the detected corners. The major contributions of this research include developing a method for analytically estimating the covariance matrix of the fitted line parameters and developing a hypothesis test statistic to statistically test the difference between the parameters of two fitted lines. Performance evaluation study showed that the algorithm is robust and accurate for complex images. It has an average misdetection rate of 2.5% and false alarm rate of 2.2% for the complex RADIUS images. This paper discusses the theory and performance characterization of the proposed corner detector.
Starting Page	362
Ending Page	367
File Size	529433
Page Count	6
File Format	PDF
ISBN	0818678224
ISSN	10636919
DOI	10.1109/CVPR.1997.609350
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1997-06-17
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Testing Covariance matrix Parameter estimation Detection algorithms Statistical analysis Detectors Image edge detection Performance evaluation Least squares approximation Intelligent systems
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition Software

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

Breakpoint detection using covariance propagation

Statistical evaluation of corner detectors: does the statistical test have an effect?

Assignment problem in edge detection performance evaluation

Robust point feature matching in projective space

Edge detection and linear feature extraction using a 2-D random field model

Performance evaluation of state-of-the-art discrete symmetry detection algorithms

A comparison of weighted LS methods with LS methods in 3-D motion estimation from stereo image sequences

A non-parametric scale-based corner detector

Optimal contour approximation by deformable piecewise cubic splines

Corner detection with covariance propagation

Similar Documents

Breakpoint detection using covariance propagation

Statistical evaluation of corner detectors: does the statistical test have an effect?

Assignment problem in edge detection performance evaluation

Robust point feature matching in projective space

Edge detection and linear feature extraction using a 2-D random field model

Performance evaluation of state-of-the-art discrete symmetry detection algorithms

A comparison of weighted LS methods with LS methods in 3-D motion estimation from stereo image sequences

A non-parametric scale-based corner detector

Optimal contour approximation by deformable piecewise cubic splines

Corner detection with covariance propagation