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MVA
1990
208views Computer Vision» more  MVA 1990»
15 years 1 months ago
3-D Shape Reconstruction from Camera Motion with Inexact Motion Parameters
When a sequence of images are obtained by a moving camera, if the exact camera velocity and corresponding points on the images are determined, the 3-D shape of the object can be r...
Keisuke Kinoshita, Koichiro Deguchi
CVPR
2012
IEEE
13 years 2 months ago
Consistent depth maps recovery from a trinocular video sequence
In this paper, we propose a novel dense depth recovery method for a trinocular video sequence. Specifically, we contribute a novel trinocular stereo matching model, which can eff...
Wenzhuo Yang, Guofeng Zhang, Hujun Bao, Jiwon Kim,...
ICIP
2004
IEEE
16 years 1 months ago
Image retrieval based on projective invariance
In this paper we propose an image retrieval scheme based on projectively invariant features. Since cross-ratio is the fundamental invariant feature under projective transformation...
S. Rajashekhar, Subhasis Chaudhuri, Vinay P. Nambo...
116
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ECCV
2002
Springer
16 years 2 months ago
Multi-camera Scene Reconstruction via Graph Cuts
We address the problem of computing the 3-dimensional shape of an arbitrary scene from a set of images taken at known viewpoints. Multi-camera scene reconstruction is a natural gen...
Vladimir Kolmogorov, Ramin Zabih
ICCV
2009
IEEE
1520views Computer Vision» more  ICCV 2009»
16 years 5 months ago
A Hand-held Photometric Stereo Camera for 3-D Modeling
This paper presents a simple yet practical 3-D modeling method for recovering surface shape and reflectance from a set of images. We attach a point light source to a hand-held c...
Tomoaki Higo, Yasuyuki Matsushita, Neel Joshi, Kat...