NDLI: The virtual time domain depth estimation of stereo-scopic sequence using optical flow

Content Provider	IEEE Xplore Digital Library
Author	Yoon Chul Lee Jeong Won Choi Gang Hwa Lee Ju Hyun Park Suk Gyu Lee
Copyright Year	2002
Description	Author affiliation: Sch. of Electr. Eng. & Comput. Sci., Yeungnam Univ., Gyongbuk, South Korea (Yoon Chul Lee; Jeong Won Choi; Gang Hwa Lee; Ju Hyun Park; Suk Gyu Lee)
Abstract	In this paper we present an efficient technique for the stereoscopic video sequence of robot vision, which yields a fast and acceptable solution for the path planning of the robot. To derive the depth information in the two-camera vision system the exploit of the relative geometric discrepancies between two scenes should be made. But finding the corresponding points by using the technique like dynamic programming takes a lot of times. We developed a fast depth estimation algorithm using the optical flow based on the method by Horn and Schunck. The merit of this scheme is that the computational burden can be greatly reduced while obtaining a reasonable solution.
Sponsorship	IEEE Region 10 IEEE Comput. Soc. Beijing Chapter IEEE Commun. Soc. Beijing Chapter IEEE Control Syst. Soc. Beijing Chapter IEEE Power Eng. Soc. Beijing Chapter IEEE Power Electron. Soc. Beijing Chapter IEEE Signal Process. Soc. Biejing Chapter
Starting Page	1599
Ending Page	1602
File Size	198428
Page Count	4
File Format	PDF
ISBN	0780374908
DOI	10.1109/TENCON.2002.1182637
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-10-28
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image motion analysis Cameras Optical noise Optical sensors Stereo vision Brightness Machine vision Robot vision systems Computer science Video sequences
Content Type	Text
Resource Type	Article

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