NDLI: Detecting 3D flow

Content Provider	IEEE Xplore Digital Library
Author	Chaudhury, K. Mehrotra, R. Srinivasan, C.
Copyright Year	1994
Description	Author affiliation: Dept. of Comput. Sci., Kentucky Univ., Lexington, KY, USA (Chaudhury, K.; Mehrotra, R.)
Abstract	An algorithm for computing 3D motion (velocity field and motion parameters) from a sequence of range images is presented. The algorithm is based on a new integral 3D rigid motion invariant feature which can be computed locally at every point of the moving surface. This feature is the trace of a 3/spl times/3 matrix (referred to as "feature matrix" in the paper) which is closely related to the moment of inertia tenser in physics. This trace of the "feature matrix" at any point provides a quantitative measure of the local shape of the surface around that point. Since the trace feature is rigid motion invariant, it remains conserved along the trajectory of every moving point. Based on that, a 3D flow constraint equation is formulated at every point on the surface, which can be solved for the velocity at the point using optical flow techniques. Since the proposed feature is integral in nature, it is robust in terms of noise and discontinuity in the moving surface. Theoretical analysis is provided to justify these claims. Experimental results are also provided to justify the efficacy of the method.
Starting Page	1073
Ending Page	1078
File Size	557258
Page Count	6
File Format	PDF
ISBN	0818653302
DOI	10.1109/ROBOT.1994.351216
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1994-05-08
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image motion analysis Motion detection Motion analysis Computer science Shape measurement Equations Optical noise Computer vision Ultraviolet sources Statistics
Content Type	Text
Resource Type	Article

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