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» Markov Random Field Modeling in Computer Vision
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CVPR
2008
IEEE
14 years 11 months ago
Robust fusion of dynamic shape and normal capture for high-quality reconstruction of time-varying geometry
This paper describes a new passive approach to capture time-varying scene geometry in large acquisition volumes from multi-view video. It can be applied to reconstruct complete mo...
Naveed Ahmed, Christian Theobalt, Petar Dobrev, Ha...
ECCV
2008
Springer
14 years 11 months ago
Temporal Surface Tracking Using Mesh Evolution
In this paper, we address the problem of surface tracking in multiple camera environments and over time sequences. In order to fully track a surface undergoing significant deformat...
Kiran Varanasi, Andrei Zaharescu, Edmond Boyer, Ra...
ECCV
2004
Springer
14 years 11 months ago
Characterization of Human Faces under Illumination Variations Using Rank, Integrability, and Symmetry Constraints
Photometric stereo algorithms use a Lambertian reflectance model with a varying albedo field and involve the appearances of only one object. This paper extends photometric stereo a...
Shaohua Kevin Zhou, Rama Chellappa, David W. Jacob...
ICPR
2006
IEEE
14 years 10 months ago
Structural flow smoothing for shape interpolation
This paper presents a comparative study of robust diffusion algorithms when used for smoothing structural fields applied in volumetric image interpolation. The input data consists...
Adrian G. Bors, Ashish Doshi
ICPR
2004
IEEE
14 years 10 months ago
Non-linear Reflectance Model for Bidirectional Texture Function Synthesis
A rough texture modelling involves a huge image data-set - the Bidirectional Texture Function (BTF). This 6-dimensional function depends on planar texture coordinates as well as o...
Jirí Filip, Michal Haindl