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ICCV
1995
IEEE
13 years 11 months ago
Recovering 3D Motion of Multiple Objects Using Adaptive Hough Transform
—We present a method to determine 3D motion and structure of multiple objects from two perspective views, using adaptive Hough transform. In our method, segmentation is determine...
Tina Yu Tian, Mubarak Shah
CVPR
1996
IEEE
14 years 9 months ago
Robust Recovery of Camera Rotation from Three Frames
Computing camera rotation from image sequences can serve many computer vision applications. One direct application is image stabilization, and when the camera rotation is known th...
Benny Rousso, Shai Avidan, Amnon Shashua, Shmuel P...
ECCV
2000
Springer
14 years 9 months ago
Egomotion Estimation Using Quadruples of Collinear Image Points
This paper considers a fundamental problem in visual motion perception, namely the problem of egomotion estimation based on visual input. Many of the existing techniques for solvin...
Manolis I. A. Lourakis
CVPR
2000
IEEE
14 years 9 months ago
Structure from Motion without Correspondence
A method is presented to recover 3D scene structure and camera motion from multiple images without the need for correspondence information. The problem is framed as finding the ma...
Frank Dellaert, Steven M. Seitz, Charles E. Thorpe...
ICCV
2005
IEEE
14 years 1 months ago
On the Spatial Statistics of Optical Flow
We develop a method for learning the spatial statistics of optical flow fields from a novel training database. Training flow fields are constructed using range images of natur...
Stefan Roth, Michael J. Black