Improving the robustness of variational optical flow through tensor voting

Computer Vision and Image Understanding

Volumn 116, Issue 9, 2012, Pages 953-966

  Rashwan, Hatem A ^a   Puig, Domenec ^a   Garcia, Miguel Angel ^b  

^a UNIVERSITAT ROVIRA I VIRGILI   (Spain)

^b UNIVERSIDAD AUTÓNOMA DE MADRID   (Spain)

Author keywords

Anisotropic filtering; Tensor voting; Variational optical flow

Indexed keywords

ANISOTROPIC FILTERING; COMPUTED FLOWS; DATA SETS; FIRST-ORDER; GAUSSIAN FILTERING; GAUSSIAN FILTERS; GRADIENT IMAGES; HIGHER ORDER; ILLUMINATION CONDITIONS; INPUT IMAGE; LOSS OF ACCURACY; OPTICAL FLOW METHODS; ORIGINAL IMAGES; PARTIAL DERIVATIVES; REAL IMAGE SEQUENCES; SPATIO-TEMPORAL; STRUCTURE TENSORS; TENSOR VOTING;

FLOW FIELDS; OPTICAL FLOWS;

TENSORS;

EID: 84861694406     PISSN: 10773142     EISSN: 1090235X     Source Type: Journal    
DOI: 10.1016/j.cviu.2012.04.006     Document Type: Article

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