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» Using Photometric Invariants for 3D Object Recognition
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ICMCS
2007
IEEE
223views Multimedia» more  ICMCS 2007»
15 years 3 months ago
An Effective Local Invariant Descriptor Combining Luminance and Color Information
Extraction of stable local invariant features is very important in many computer vision applications, such as image matching, object recognition and image retrieval. Most existing...
Dong Zhang, Weiqiang Wang, Wen Gao, Shuqiang Jiang
AC
2003
Springer
15 years 2 months ago
3D Face Recognition Using Stereoscopic Vision
In this paper a new complete system for 3D face recognition is presented. 3D face recognition presents several advantages against 2D face recognition, as, for example, invariance t...
Umberto Castellani, Manuele Bicego, Gianluca Iacon...
CVPR
2008
IEEE
15 years 11 months ago
Discriminative learning of visual words for 3D human pose estimation
This paper addresses the problem of recovering 3D human pose from a single monocular image, using a discriminative bag-of-words approach. In previous work, the visual words are le...
Huazhong Ning, Wei Xu, Yihong Gong, Thomas S. Huan...
CVPR
2001
IEEE
15 years 11 months ago
3D Object Recognition from Range Images using Local Feature Histograms
This paper explores a view-based approach to recognize free-form objects in range images. We are using a set of local features that are easy to calculate and robust to partial occ...
Bastian Leibe, Bernt Schiele, Günter Hetzel, ...