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ICCV
2001
IEEE
10 years 11 months ago
Classifying and Solving Minimal Structure and Motion Problems with Missing Data
In this paper we investigate the structure and motion problem for calibrated one-dimensional projections of a two-dimensional environment. In a previous paper the structure and mo...
Kalle Åström, Magnus Oskarsson, Niels C...
ICCV
2007
IEEE
10 years 4 months ago
Structure from Motion with Missing Data is NP-Hard
This paper shows that structure from motion is NP-hard for most sensible cost functions when missing data is allowed. The result provides a fundamental limitation of what is possi...
David Nistér, Fredrik Kahl, Henrik Stew&eac...
CVPR
2005
IEEE
10 years 11 months ago
Robust L1 Norm Factorization in the Presence of Outliers and Missing Data by Alternative Convex Programming
Matrix factorization has many applications in computer vision. Singular Value Decomposition (SVD) is the standard algorithm for factorization. When there are outliers and missing ...
Qifa Ke, Takeo Kanade
SCIA
2009
Springer
305views Image Analysis» more  SCIA 2009»
10 years 4 months ago
A Convex Approach to Low Rank Matrix Approximation with Missing Data
Many computer vision problems can be formulated as low rank bilinear minimization problems. One reason for the success of these problems is that they can be efficiently solved usin...
Carl Olsson, Magnus Oskarsson
SIAMIS
2010
171views more  SIAMIS 2010»
9 years 4 months ago
Global Optimization for One-Dimensional Structure and Motion Problems
We study geometric reconstruction problems in one-dimensional retina vision. In such problems, the scene is modeled as a 2D plane, and the camera sensor produces 1D images of the s...
Olof Enqvist, Fredrik Kahl, Carl Olsson, Kalle &Ar...
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