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Realistic Textures for Virtual Anastylosis

Zalesny, Alexey / Maur, Dominik Auf der / Paget, Rupert et al. | IEEE | 2003

modeling and synthesis technique to simulate the intricate appearances of building materials and landscapes. A macrotexture or "label map ...

Ranking prior likelihood distributions for Bayesian shape localization framework

Shuicheng Yan, / Mingjing Li, / Hongjiang Zhang, et al. | IEEE | 2003

uncover the MAP shape by locally modeling the likelihood distribution around each key point via our proposed variational locally weighted learning ...

Range synthesis for 3D environment modeling

Torres-Mendez, L.A. / Dudek, G. | IEEE | 2002

In this paper a range synthesis algorithm is proposed as an initial solution to the problem of 3D environment modeling from sparse data. We ...

Protein Interaction Inference as a MAX-SAT Problem

Ya Zhang, / Hongyuan Zha, / Chao-Hisen Chu, et al. | IEEE | 2005

of computational modeling. In this paper, a new framework of learning is proposed. The framework makes no assumption about domain ...

Proposal maps driven MCMC for estimating human body pose in static images

Mun Wai Lee, / Cohen, I. | IEEE | 2004

approach by modeling the human kinematics, the shape and the clothing probabilistically. These models are used for deriving a good likelihood ...

Profile-based Pottery Reconstruction

Kampel, M. / Sablatnig, R. | IEEE | 2003

A major obstacle to the broader use of 3D object reconstruction and modeling is the extent of manual intervention needed. Such ...

Proceedings Workshop on Photometric Modeling for Computer Vision and Graphics (Cat. No.PR00271)

IEEE | 1999

Proceedings of the Workshop on Physics-Based Modeling in Computer Vision

IEEE | 1995

Probabilistic modeling based vessel enhancement in thoracic CT scans

Agam, G. / Wu, C. | IEEE | 2005

Probabilistic kernels for the classification of auto-regressive visual processes

Chan, A.B. / Vasconcelos, N. | IEEE | 2005

framework combines the modeling power of a family of models known as dynamic textures and the generalization guarantees, for classification, of the ...

Probabilistic framework for segmenting people under occlusion

Elgammal, A.E. / Davis, L.S. | IEEE | 2001

. Modeling these regions involves modeling their appearance (color distributions) as well us their spatial distribution with respect to the body. We ...

Principal components analysis and neural network implementation of photometric stereo

Iwahori, Y. / Woodham, R.J. / Bagheri, A. | IEEE | 1995

Practical non-parametric density estimation on a transformation group for vision

Miller, E.G. / Chefd'hotel, C. | IEEE | 2003

on the linear group of non-singular matrices with positive determinant. We illustrate this approach by modeling image transformations in ...

Pose-robust face recognition using geometry assisted probabilistic modeling

Xiaoming Liu, / Tsuhan Chen, | IEEE | 2005

Pose estimation and integration for complete 3D model reconstruction

Soon-Yong Park, / Subbarao, M. | IEEE | 2002

reconstructed for two different poses of the object using a multi-view 3D modeling technique. The two partial 3D models are then registered. Coarse ...

Polarization multiplexing for bidirectional imaging

Cula, O.G. / Dana, K.J. / Pai, D.K. et al. | IEEE | 2005

Our goal is to incorporate polarization in appearance-based modeling in an efficient and meaningful way. Polarization has been used in ...

Polarization-based transparent surface modeling from two views

Miyazaki, / Kagesawa, / Ikeuchi, | IEEE | 2003

Polarization based removal of spurious inter-reflections in active ranging

Clark, J. / Truces, E. / Cheung, H.-F. | IEEE | 1995

Piecewise planar segmentation for automatic scene modeling

Bartoli, A. | IEEE | 2001

Physics-like invariants for vision

Weiss, I. | IEEE | 1995