Titlebook: Energy Minimization Methods in Computer Vision and Pattern Recognition; 6th International Co Alan L. Yuille,Song-Chun Zhu,Yongtian Wang Con

VEST

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Toru Fukubayashi,Tetsuya Ogawa,Mako Fukanolife-like portraits in different styles from a frontal face image. The system includes three subsystems, each of which models hair, face and collar respectively. The face subsystem can be further decomposed into face components: eyebrows, eyes, nose, mouth, and face contour. Each component has a num

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Muscle Strains and Avulsion Injuries,s framework, we integrate the learnable And-Or graph model, a hierarchical structure that combines the reconfigurability of a stochastic context free grammar(SCFG) with the constraints of a Markov random field(MRF), and we sample object configurations as training templates from this generative model

APEX

Richard A. Marder,George J. Lians an very important problem in low-middle level vision with a synthesis of two goals: segmentation and 2.5D sketch, in other words, it is to consider 2D segmentation by incorporating occulision/depth explicitly to get the partial order of final segmented regions and contour completion in the same la

脱离

Joideep Phadnis,Gregory I. Bainc reflection model is utilized, which assumed a light reflected from a surface point is linearly composed of diffuse and specular reflections. The major idea behind the proposed method is to classify the boundary pixels of the input image to be specular-related or diffuse-related. A fuzzy integral p

Microgram

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978-3-540-74195-4Springer-Verlag Berlin Heidelberg 2007

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Prologue

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