NDLI: A new combination of local and global constraints for optical flow computation

Content Provider	IEEE Xplore Digital Library
Author	Niu, Y. Dick, A. Brooks, M.
Copyright Year	2008
Description	Author affiliation: Sch. of Comput. Sci., Univ. of Adelaide, Adelaide, SA (Niu, Y.; Dick, A.; Brooks, M.)
Abstract	This paper describes an approach to optical flow computation that combines local and global constraints. A local flow estimate is obtained at each pixel, and is used to segment the image into regions of smooth motion. Within each region, global constraints are applied to reduce noise in local flow estimates while preserving motion boundaries. The main novel contributions in this framework are: (1) the derivation of a consistency measure for local flow computation, and the use of this measure to preserve motion boundary in the estimation; (2) the combined use of global subspace and spatial smoothness constraints to complement local flow estimation. Results on standard test sequences demonstrate improved accuracy in flow estimation, and analyse the role that each contribution plays in this improvement.
Starting Page	1
Ending Page	6
File Size	2155322
Page Count	6
File Format	PDF
ISBN	9781424437801
DOI	10.1109/IVCNZ.2008.4762134
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-11-26
Publisher Place	New Zealand
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Motion estimation Noise reduction Subspace constraints Optical computing motion segmentation Motion measurement Image motion analysis Image segmentation Fluid flow measurement motion estimation Optical noise Pixel Optical flow local/global motion constraints
Content Type	Text
Resource Type	Article

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