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» Classifying and Solving Minimal Structure and Motion Problem...
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NIPS
2003
13 years 5 months ago
Factorization with Uncertainty and Missing Data: Exploiting Temporal Coherence
The problem of “Structure From Motion” is a central problem in vision: given the 2D locations of certain points we wish to recover the camera motion and the 3D coordinates of ...
Amit Gruber, Yair Weiss
NPL
2006
137views more  NPL 2006»
13 years 4 months ago
Minimal Structure of Self-Organizing HCMAC Neural Network Classifier
The authors previously proposed a self-organizing Hierarchical Cerebellar Model Articulation Controller (HCMAC) neural network containing a hierarchical GCMAC neural network and a ...
Chih-Ming Chen, Yung-Feng Lu, Chin-Ming Hong
ICCV
1999
IEEE
14 years 6 months ago
Structure and Motion from Lines under Affine Projections
In this paper we investigate the geometry and algebra of multiple projections of lines with affine cameras. Previously, the case of seven lines in three images has been studied. I...
Anders Heyden, Fredrik Kahl, Kalle Åströ...
3DPVT
2006
IEEE
236views Visualization» more  3DPVT 2006»
13 years 10 months ago
Multiple Camera Calibration Using Robust Perspective Factorization
In this paper we address the problem of recovering structure and motion from a large number of intrinsically calibrated perspective cameras. We describe a method that combines (1)...
Andrei Zaharescu, Radu Horaud, Rémi Ronfard...
JMLR
2008
168views more  JMLR 2008»
13 years 4 months ago
Max-margin Classification of Data with Absent Features
We consider the problem of learning classifiers in structured domains, where some objects have a subset of features that are inherently absent due to complex relationships between...
Gal Chechik, Geremy Heitz, Gal Elidan, Pieter Abbe...