NDLI: Subpixel disparity for accurate stereoscopic depth & velocity

Content Provider	IEEE Xplore Digital Library
Author	Ab-Rahman, A.A.H. Sheikh, U.U. Abu-Bakar, S.A.R.
Copyright Year	2005
Description	Author affiliation: Computer Vision, Video, and Image Processing Lab (CVVIP), Faculty of Electrical Engineering, Universiti Teknologi Malaysia, Skudai, 81310, Johor, MALAYSIA (Ab-Rahman, A.A.H.; Sheikh, U.U.; Abu-Bakar, S.A.R.)
Abstract	This paper presents a subpixel disparity technique for obtaining accurate depth & velocity estimation of a moving object using stereoscopic vision. In such system, depth information is obtained from calculating the disparity between two images. This value is often precise within )1 pixel. The limitation in pixel precision leads to inaccuracy in getting 3D information of an object. We propose a technique to increase the precision of disparity calculation by interpolating the values of Sum of Absolute Difference (SAD) within the matching histogram, so as to provide a more accurate depth information, which subsequently gives a more accurate value for estimating velocity of a moving object. The techniques of Least Square Method (LSM) and Doolittle factoring is utilized to perform interpolation, and solve the resulting system of linear equations. Experiments show a significant increase in the accuracy of approximating depth and velocity of a moving object.
Starting Page	107
Ending Page	111
File Size	2079496
Page Count	5
File Format	PDF
ISBN	9781424400119
DOI	10.1109/CCSP.2005.4977169
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-11-14
Publisher Place	Malaysia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Interpolation Computer vision Image resolution Image processing Machine vision Robot vision systems Cameras Equations Pattern matching Lenses
Content Type	Text
Resource Type	Article

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