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GECCO
2009
Springer
204views Optimization» more  GECCO 2009»
14 years 11 hour ago
Combined structure and motion extraction from visual data using evolutionary active learning
We present a novel stereo vision modeling framework that generates approximate, yet physically-plausible representations of objects rather than creating accurate models that are c...
Krishnanand N. Kaipa, Josh C. Bongard, Andrew N. M...
CVPR
2009
IEEE
15 years 2 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...
SCVMA
2004
Springer
14 years 22 days ago
Structure from Periodic Motion
Abstract. We show how to exploit temporal periodicity of moving objects to perform 3D reconstruction. The collection of period-separated frames serve as a surrogate for multiple ri...
Serge J. Belongie, Josh Wills
CVPR
2000
IEEE
14 years 9 months ago
Hierarchical Structure and Nonrigid Motion Recovery from 2D Monocular Views
Inferring both 3D structure and motion of nonrigid objects from monocular images is an important problem in computational vision. The challenges stem not only from the absence of ...
Lin Zhou, Chandra Kambhamettu
CVPR
1999
IEEE
14 years 9 months ago
An Efficient Recursive Factorization Method for Determining Structure from Motion
A recursive method is presented for recovering 3D object shape and camera motion under orthography from an extended sequence of video images. This may be viewed as a natural exten...
Yanhua Li, Michael J. Brooks