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ECCV
2008
Springer
14 years 9 months ago
Efficient Dense Scene Flow from Sparse or Dense Stereo Data
Abstract. This paper presents a technique for estimating the threedimensional velocity vector field that describes the motion of each visible scene point (scene flow). The techniqu...
Andreas Wedel, Clemens Rabe, Tobi Vaudrey, Thomas ...
WSCG
2004
264views more  WSCG 2004»
13 years 8 months ago
Image Registration Exploiting Five-Point Coplanar Perspective Invariant and Maximum-Curvature Point
Image registrations have been a subject of extensive study over the last decade. They appear in numerous applications including Computer Vision, Pattern Recognition, Medical Image...
Parichart Putjarupong, Chuchart Pintavirooj, Witha...
MVA
1990
208views Computer Vision» more  MVA 1990»
13 years 8 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
MVA
2002
261views Computer Vision» more  MVA 2002»
13 years 7 months ago
Detecting Faces in Color Images Using an Adaptive Color Model and Salient Features
Face detection has many interesting applications such as a face recognition system, a surveillance system, and videolimage indexing system. In this paper, we propose a new method ...
Hang-Bong Kang
CVPR
2009
IEEE
15 years 2 months ago
Stereo Matching with Nonparametric Smoothness Priors in Feature Space
We propose a novel formulation of stereo matching that considers each pixel as a feature vector. Under this view, matching two or more images can be cast as matching point clouds i...
Brandon M. Smith, Hailin Jin, Li Zhang