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BMVC
2010
15 years 2 months ago
Back to the Future: Learning Shape Models from 3D CAD Data
Recognizing 3D objects from arbitrary view points is one of the most fundamental problems in computer vision. A major challenge lies in the transition between the 3D geometry of o...
Michael Stark, Michael Goesele, Bernt Schiele
ICIP
2010
IEEE
15 years 2 months ago
Blind invisible watermarking for 3D meshes with textures
We propose to embed watermarks by modifying the texture mapping information of 3D models rather than modifying the geometry information or texture image as existing works do. We p...
Yang Liu, Balakrishnan Prabhakaran, Xiaohu Guo
ICIP
2009
IEEE
15 years 2 months ago
Locality preserving constraints for super-resolution with neighbor embedding
In this paper, we revisit the manifold assumption which has been widely adopted in the learning-based image superresolution. The assumption states that point-pairs from the high-r...
Bo Li, Hong Chang, Shiguang Shan, Xilin Chen
ACCV
2010
Springer
14 years 11 months ago
Optimizing Visual Vocabularies Using Soft Assignment Entropies
The state of the art for large database object retrieval in images is based on quantizing descriptors of interest points into visual words. High similarity between matching image r...
Yubin Kuang, Kalle Åström, Lars Kopp, M...
PAMI
2011
14 years 11 months ago
Overcoming Shadows in 3-Source Photometric Stereo
—Light occlusions are one of the most significant difficulties of photometric stereo methods. When three or more images are available without occlusion, the local surface orien...
Carlos Hernández, George Vogiatzis, Roberto...