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SCIA
2009
Springer
261views Image Analysis» more  SCIA 2009»
15 years 8 months ago
Dense and Deformable Motion Segmentation for Wide Baseline Images
In this paper we describe a dense motion segmentation method for wide baseline image pairs. Unlike many previous methods our approach is able to deal with deforming motions and lar...
Juho Kannala, Esa Rahtu, Sami S. Brandt, Janne Hei...
CORR
2010
Springer
95views Education» more  CORR 2010»
15 years 3 months ago
Statistical Compressive Sensing of Gaussian Mixture Models
A new framework of compressive sensing (CS), namely statistical compressive sensing (SCS), that aims at efficiently sampling a collection of signals that follow a statistical dist...
Guoshen Yu, Guillermo Sapiro
SIAMJO
2008
136views more  SIAMJO 2008»
15 years 3 months ago
Relaxed Alternating Projection Methods
Let A and B be nonempty, convex and closed subsets of a Hilbert space H. In the practical considerations we need to find an element of the intersection A B or, more general, to s...
Andrzej Cegielski, Agnieszka Suchocka
CVPR
2009
IEEE
16 years 11 months ago
Learning General Optical Flow Subspaces for Egomotion Estimation and Detection of Motion Anomalies
This paper deals with estimation of dense optical flow and ego-motion in a generalized imaging system by exploiting probabilistic linear subspace constraints on the flow. We dea...
Richard Roberts (Georgia Institute of Technology),...
ECCV
2008
Springer
16 years 5 months ago
Understanding Camera Trade-Offs through a Bayesian Analysis of Light Field Projections
Computer vision has traditionally focused on extracting structure, such as depth, from images acquired using thin-lens or pinhole optics. The development of computational imaging i...
Anat Levin, William T. Freeman, Frédo Duran...