A framework for intrinsic image processing on surfaces

Computer Vision and Image Understanding

Volumn 115, Issue 12, 2011, Pages 1647-1661

  Lai, Rongjie ^a   Chan, Tony F ^b  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^b UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Computational differential geometry; Image denoising; Image segmentation; Imaging on surfaces; Total variation

Indexed keywords

COMPUTATIONAL DIFFERENTIAL GEOMETRY; DE-NOISING; DIFFERENTIAL GEOMETRY; EFFICIENT METHOD; EUCLIDEAN DOMAIN; EUCLIDEAN SPACES; GEOMETRIC MODELING; IMAGE DE-NOISING; IMAGE PROBLEM; IMAGE VARIATIONS; IMPLICIT REPRESENTATION; PRACTICAL PROBLEMS; TOTAL VARIATION;

ALGORITHMS; COLOR IMAGE PROCESSING; COMPUTER GRAPHICS; COMPUTER VISION; GEOMETRY; IMAGING SYSTEMS; MEDICAL PROBLEMS; NOISE POLLUTION CONTROL;

MEDICAL IMAGING;

EID: 80455174697     PISSN: 10773142     EISSN: 1090235X     Source Type: Journal    
DOI: 10.1016/j.cviu.2011.05.011     Document Type: Article

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