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DCC
2001
IEEE
14 years 7 months ago
Compression of the Layered Depth Image
A layered depth image (LDI) is a new popular representation and rendering method for objects with complex geometries. Similar to a 2D image, the LDI consists of an array of pixels...
Jiangang Duan, Jin Li
ICIP
2006
IEEE
14 years 9 months ago
A Profile Hidden Markov Model Framework for Modeling and Analysis of Shape
In this paper we propose a new framework for modeling 2D shapes. A shape is first described by a sequence of local features (e.g., curvature) of the shape boundary. The resulting ...
Rui Huang, Vladimir Pavlovic, Dimitris N. Metaxas
ICCV
2009
IEEE
1048views Computer Vision» more  ICCV 2009»
15 years 11 days ago
Face Recognition With Contiguous Occlusion Using Markov Random Fields
Partially occluded faces are common in many applications of face recognition. While algorithms based on sparse representation have demonstrated promising results, they achieve t...
Zihan Zhou, Andrew Wagner, Hossein Mobahi, John Wr...
PSIVT
2009
Springer
176views Multimedia» more  PSIVT 2009»
13 years 12 months ago
Monocular 3D Reconstruction of Objects Based on Cylindrical Panoramas
This paper discusses ways of using a single panoramic image (captured by a rotating sensor-line camera having very-high spatial resolution) for the geometric shape recovery of a sh...
Ralf Haeusler, Reinhard Klette, Fay Huang
IBPRIA
2009
Springer
14 years 14 hour ago
Large Scale Online Learning of Image Similarity through Ranking
ent abstract presents OASIS, an Online Algorithm for Scalable Image Similarity learning that learns a bilinear similarity measure over sparse representations. OASIS is an online du...
Gal Chechik, Varun Sharma, Uri Shalit, Samy Bengio