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» Using Photometric Invariants for 3D Object Recognition
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ICPR
2006
IEEE
15 years 10 months ago
Invariant Features for 3D-Data based on Group Integration using Directional Information and Spherical Harmonic Expansion
Due to the increasing amount of 3D data for various applications there is a growing need for classification and search in such databases. As the representation of 3D objects is no...
Marco Reisert, Hans Burkhardt
CVPR
2011
IEEE
14 years 5 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...
93
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AIPR
2007
IEEE
15 years 3 months ago
3D Scene Reconstruction through a Fusion of Passive Video and Lidar Imagery
Geometric structure of a scene can be reconstructed using many methods. In recent years, two prominent approaches have been digital photogrammetric analysis using passive stereo i...
Prudhvi Gurram, Stephen Lach, Eli Saber, Harvey E....
CIARP
2009
Springer
15 years 4 months ago
3D and Appearance Modeling from Images
This paper gives an overview of works done in our group on 3D and appearance modeling of objects, from images. The backbone of our approach is to use what we consider as the princi...
Peter F. Sturm, Amaël Delaunoy, Pau Gargallo,...
BMVC
2001
14 years 12 months ago
Hue that is invariant to brightness and gamma
Hue provides a useful and intuitive cue that is used in a variety of computer vision applications. Hue is an attractive feature as it captures intrinsic information about the colo...
Graham D. Finlayson, Gerald Schaefer