NDLI: Tangent flow estimation based on 3-D gradient constraint

Content Provider	IEEE Xplore Digital Library
Author	Tianyu Tang Kai-Kuang Ma
Copyright Year	2009
Description	Author affiliation: School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798 (Tianyu Tang; Kai-Kuang Ma)
Abstract	Due to the limitation of the gradient constraint, only the normal flow, which is one of the optical flow components that is in the direction of the image gradient, can be computed directly. Consequently, an additional smoothness assumption has to be imposed in order to compute the optical flow. However, such assumption could yield a mismatch, especially on the boundaries of moving objects, besides the computational complexity issue. To address these concerns, in this paper, a three-dimensional (3-D) gradient constraint is developed and imposed for computing the optical flow without exploiting any smoothness assumption on the motion field. Based on this 3-D gradient constraint, the tangent flow, which is another optical flow component that is perpendicular to the normal flow, could be obtained through our derived closed-form solution at each pixel position. This also means that the standard aperture problem could be efficiently solved. The experimental results show that the proposed approach yields a fairly precise optical flow field with a very low computational load.
Starting Page	1
Ending Page	5
File Size	242146
Page Count	5
File Format	PDF
ISBN	9781424446568
DOI	10.1109/ICICS.2009.5397511
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-12-08
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image motion analysis Optical computing Optical devices Apertures Optical noise Computer vision Nonlinear optics Computational complexity Motion estimation Closed-form solution tangent flow Optical flow standard aperture problem 3-D gradient constraint
Content Type	Text
Resource Type	Article

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