Optical flow estimation with adaptive convolution kernel prior on discrete framework

Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition

Volumn , Issue , 2010, Pages 2504-2511

  Lee, Kyong Joon ^a   Kwon, Dongjin ^a   Yun, Il Dong ^b   Lee, Sang Uk ^a  

^a Seoul National University   (South Korea)

^b Hankuk University of Foreign Studies   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

BILATERAL FILTERS; COMPLEX GRAPHS; COMPUTATIONAL TIME; CONVOLUTION KERNEL; DATA SETS; DIFFERENTIABILITY; DIFFUSION TENSOR; ENERGY FUNCTIONS; ENERGY MODEL; KERNEL DESIGN; LABEL SETS; LARGE DISPLACEMENTS; LOCAL STATISTICS; MEMORY REQUIREMENTS; MODEL YIELDS; MRF FRAMEWORK; OPTICAL FLOW ESTIMATION; OVER SEGMENTATION; REGULARIZATION PROCESS; REGULARIZER; SMOOTHING PROBLEMS; TEXTURED REGIONS; TUNING PARAMETER; VARIATIONAL APPROACHES;

COMPUTER VISION; CONVOLUTION; OPTICAL FLOWS; TENSORS;

STRUCTURAL FRAMES;

EID: 77956004231     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2010.5539953     Document Type: Conference Paper

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