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ICCV
2007
IEEE
14 years 9 months ago
Depth-From-Recognition: Inferring Meta-data by Cognitive Feedback
Thanks to recent progress in category-level object recognition, we have now come to a point where these techniques have gained sufficient maturity and accuracy to succesfully feed...
Alexander Thomas, Vittorio Ferrari, Bastian Leibe,...
DAGM
2005
Springer
14 years 1 months ago
3D Surface Reconstruction by Combination of Photopolarimetry and Depth from Defocus
Abstract. In this paper we present a novel image-based 3D surface reconstruction technique that incorporates reflectance, polarisation, and defocus information into a variational ...
Pablo d'Angelo, Christian Wöhler
ICIP
2009
IEEE
13 years 5 months ago
Optical flow and depth from motion for omnidirectional images using a TV-L1 variational framework on graphs
This paper deals with the problem of efficiently computing the optical flow of image sequences acquired by omnidirectional (nearly full field of view) cameras. We formulate the pr...
Luigi Bagnato, Pascal Frossard, Pierre Vandergheyn...
CVPR
2011
IEEE
13 years 3 months ago
Real-time Human Pose Recognition in Parts from Single Depth Images
We propose a new method to quickly and accurately predict 3D positions of body joints from a single depth image, using no temporal information. We take an object recognition appro...
Jamie Shotton, Andrew Fitzgibbon, Mat Cook, Andrew...
ICCV
2011
IEEE
12 years 7 months ago
Kinecting the dots: Particle Based Scene Flow from depth sensors
The motion field of a scene can be used for object segmentation and to provide features for classification tasks like action recognition. Scene flow is the full 3D motion fiel...
Simon Hadfield, Richard Bowden