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MVA
1990
208views Computer Vision» more  MVA 1990»
14 years 11 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 13 days 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
15 years 11 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...
ECCV
2002
Springer
15 years 12 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 3 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...