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» Supervised Image Segmentation Using Markov Random Fields
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ICIG
2009
IEEE
14 years 7 months ago
Statistical Modeling of Optical Flow
Optical flow estimation is one of the main subjects in computer vision. Many methods developed to compute the motion fields are built using standard heuristic formulation. In this...
Dongmin Ma, Véronique Prinet, Cyril Cassisa
MICCAI
2010
Springer
14 years 8 months ago
Nonlinear Embedding towards Articulated Spine Shape Inference Using Higher-Order MRFs
In this paper we introduce a novel approach for inferring articulated spine models from images. A low-dimensional manifold embedding is created from a training set of prior mesh mo...
Samuel Kadoury, Nikos Paragios
CVPR
2005
IEEE
14 years 11 months ago
Dense Photometric Stereo Using Tensorial Belief Propagation
We address the normal reconstruction problem by photometric stereo using a uniform and dense set of photometric images captured at fixed viewpoint. Our method is robust to spurio...
Kam-Lun Tang, Chi-Keung Tang, Tien-Tsin Wong
ICCV
2009
IEEE
3167views Computer Vision» more  ICCV 2009»
16 years 2 months ago
Tracking a Hand Manipulating an Object
We present a method for tracking a hand while it is interacting with an object. This setting is arguably the one where hand-tracking has most practical relevance, but poses signi...
Henning Hamer, Konrad Schindler, Esther Koller-Mei...
ECCV
2006
Springer
15 years 11 months ago
TextonBoost: Joint Appearance, Shape and Context Modeling for Multi-class Object Recognition and Segmentation
Abstract. This paper proposes a new approach to learning a discriminative model of object classes, incorporating appearance, shape and context information efficiently. The learned ...
Jamie Shotton, John M. Winn, Carsten Rother, Anton...