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CVPR
1997
IEEE
16 years 4 hour ago
Recursive Structure and Motion from Image Sequences using Shape and Depth Spaces
In this paper a novel recursive method for estimating structure and motion from image sequences is presented. The novelty lies in the fact that the output of the algorithm is inde...
Rikard Berthilsson, Anders Heyden, Gunnar Sparr
CVPR
1999
IEEE
16 years 4 hour 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
1999
IEEE
16 years 4 hour ago
Time-Series Classification Using Mixed-State Dynamic Bayesian Networks
We present a novel mixed-state dynamic Bayesian network (DBN) framework for modeling and classifying timeseries data such as object trajectories. A hidden Markov model (HMM) of di...
Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huan...
CVPR
2000
IEEE
16 years 4 hour 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...
CVPR
2001
IEEE
16 years 4 hour ago
Issues on the Geometry of Central Catadioptric Image Formation
An imaging system with a single effective viewpoint is called a central projection system. The conventional perspective camera is an example of a central projection system. System...
João P. Barreto, Helder Araújo