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CVPR
2012
IEEE
13 years 9 months ago
Geometry constrained sparse coding for single image super-resolution
The choice of the over-complete dictionary that sparsely represents data is of prime importance for sparse codingbased image super-resolution. Sparse coding is a typical unsupervi...
Xiaoqiang Lu, Haoliang Yuan, Pingkun Yan, Yuan Yua...
CVPR
2009
IEEE
2452views Computer Vision» more  CVPR 2009»
17 years 2 months ago
CHoG: Compressed Histogram of Gradients: A Low Bit-Rate Feature Descriptor
Establishing visual correspondences is an essential component of many computer vision problems, and is often done with robust, local feature-descriptors. Transmission and storag...
Vijay Chandrasekhar (Stanford University), Gabriel...
CVPR
1999
IEEE
16 years 8 months ago
Shape from Recognition and Learning: Recovery of 3-D Face Shapes
In this paper, a novel framework for the recovery of 3D surfaces of faces from single images is developed. The underlying principle is shape from recognition, i.e. the idea that p...
Dibyendu Nandy, Jezekiel Ben-Arie
CVPR
2001
IEEE
16 years 8 months ago
3D Biplanar Reconstruction of Scoliotic Vertebrae Using Statistical Models
This paper presents a new 3D reconstruction method of the scoliotic vertebrae of a spine, using two conventional radiographic views (postero-anterior and lateral), and a global pr...
Said Benameur, Max Mignotte, Stefan Parent, Hubert...
CVPR
2005
IEEE
16 years 8 months ago
Wide-Baseline Stereo Matching with Line Segments
We present a new method for matching line segments between two uncalibrated wide-baseline images. Most current techniques for wide-baseline matching are based on viewpoint invaria...
Herbert Bay, Vittorio Ferrari, Luc J. Van Gool