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CVPR
2000
IEEE
15 years 27 days 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...
ICPR
2002
IEEE
14 years 3 months ago
Constrained Structure and Motion Estimation from Optical Flow
Unbiased and consistent estimates of structure and motion can be obtained by least squares minimization of the differential epipolar constraint. Previous work on this subject does...
Marco Zucchelli, José Santos-Victor, Henrik...
CVPR
2009
IEEE
15 years 6 months ago
Linear Embeddings in Non-Rigid Structure From Motion
This paper proposes a method to recover the embedding of the possible shapes assumed by a deforming nonrigid object by comparing triplets of frames from an orthographic video se...
Vincent Rabaud (University of California, San Dieg...
ICPR
2008
IEEE
14 years 5 months ago
Dynamic structure from motion based on nonlinear adaptive observers
Structure and motion estimation from long image sequences is a an important and difficult problem in computer vision. We propose a novel approach based on nonlinear and adaptive ...
Ola Dahl, Anders Heyden
BMVC
2010
13 years 9 months ago
Inferring Image Transformation and Structure from Motion-Blurred Images
This paper deals with the problem of estimating structure of 3D scenes and image transformations from observations that are blurred due to unconstrained camera motion. Initially, ...
Paramanand Chandramouli, Rajagopalan Ambasamudram