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» 3D Reconstruction Using Labeled Image Regions
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CVPR
2010
IEEE
15 years 6 months ago
Combining Discriminative and Generative Methods for 3D Deformable Surface and Articulated Pose Reconstruction
Historically non-rigid shape recovery and articulated pose estimation have evolved as separate fields. Recent methods for non-rigid shape recovery have focused on improving the a...
Mathieu Salzmann, Raquel Urtasun
BIBE
2003
IEEE
105views Bioinformatics» more  BIBE 2003»
15 years 3 months ago
Prostate Gland and Extra-Capsular Tissue 3D Reconstruction and Measurement
Currently there are little objective parameters that can quantify the success of one form of prostate surgical removal over another. Accordingly, at Old Dominion University (ODU) ...
Frederic Rick McKenzie, Rania Hussein, Jennifer Se...
AIPR
2007
IEEE
15 years 4 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....
ECCV
2000
Springer
15 years 11 months ago
Multibody Structure and Motion: 3-D Reconstruction of Independently Moving Objects
Abstract. This paper extends the recovery of structure and motion to image sequences with several independently moving objects. The motion, structure, and camera calibration are al...
Andrew W. Fitzgibbon, Andrew Zisserman
ICCV
2011
IEEE
13 years 9 months ago
Home 3D Body Scans from Noisy Image and Range Data
The 3D shape of the human body is useful for applications in fitness, games and apparel. Accurate body scanners, however, are expensive, limiting the availability of 3D body mode...
Alex Weiss, David Hirshberg, Michael Black