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» A 3D face matching framework
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111
Voted
ICIP
2007
IEEE
16 years 2 months ago
Super-Resolved Facial Texture Under Changing Pose and Illumination
In this paper, we propose a method to incrementally superresolve 3D facial texture by integrating information frame by frame from a video captured under changing poses and illumin...
Jiangang Yu, Bir Bhanu, Yilei Xu, Amit K. Roy Chow...
129
Voted
NIPS
2004
15 years 1 months ago
Surface Reconstruction using Learned Shape Models
We consider the problem of geometrical surface reconstruction from one or several images using learned shape models. While humans can effortlessly retrieve 3D shape information, t...
Jan Erik Solem, Fredrik Kahl
VIS
2004
IEEE
139views Visualization» more  VIS 2004»
16 years 1 months ago
Compatible Triangulations of Spatial Decompositions
We describe a general algorithm to produce compatible 3D triangulations from spatial decompositions. Such triangulations match edges and faces across spatial cell boundaries, solv...
Berk Geveci, Mathieu Malaterre, William J. Schroed...
ECCV
2004
Springer
16 years 2 months ago
Stereo Using Monocular Cues within the Tensor Voting Framework
We address the fundamental problem of matching in two static images. The remaining challenges are related to occlusion and lack of texture. Our approach addresses these difficultie...
Philippos Mordohai, Gérard G. Medioni
ICCV
2005
IEEE
16 years 2 months ago
Deformation Invariant Image Matching
We propose a novel framework to build descriptors of local intensity that are invariant to general deformations. In this framework, an image is embedded as a 2D surface in 3D spac...
Haibin Ling, David W. Jacobs