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» Structure from Motion with Missing Data is NP-Hard
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TSP
2011
197views more  TSP 2011»
14 years 8 months ago
Group Object Structure and State Estimation With Evolving Networks and Monte Carlo Methods
—This paper proposes a technique for motion estimation of groups of targets based on evolving graph networks. The main novelty over alternative group tracking techniques stems fr...
Amadou Gning, Lyudmila Mihaylova, Simon Maskell, S...
BIB
2007
82views more  BIB 2007»
15 years 2 months ago
High-throughput modeling and analysis of protein structural dynamics
Protein function is a dynamic property closely related to the conformational mechanisms of protein structure in its physiological environment. To understand and control the functi...
Xiong Liu, Hassan A. Karimi
116
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ICCV
2003
IEEE
15 years 7 months ago
Surface Reconstruction from Feature Based Stereo
This paper describes an approach to recovering surface models of complex scenes from the quasi-sparse data returned by a feature based stereo system. The method can be used to mer...
Camillo J. Taylor
ECCV
1994
Springer
16 years 3 months ago
Utilizing symmetry in the reconstruction of three-dimensional shape from noisy images
In previous applications, bilateral symmetry of objects was used either as a descriptive feature in domains such as recognition and grasping, or as a way to reduce the complexity o...
Hagit Zabrodsky, Daphna Weinshall
ICIP
2004
IEEE
16 years 3 months ago
Complete 3-d models from video: a global approach
We address the automatic recovery of complete 3-D object models from video streams. Usually, complete 3-D models are built by fusing several depth maps, each computed from a small...
Bruno B. Gonçalves, Pedro M. Q. Aguiar