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CVPR
2010
IEEE
16 years 1 months ago
Scale-Hierarchical 3D Object Recognition in Cluttered Scenes
3D object recognition in scenes with occlusion and clutter is a difficult task. In this paper, we introduce a method that exploits the geometric scale-variability to aid in this ...
Prabin Bariya, Ko Nishino
SCALESPACE
2009
Springer
16 years 18 days ago
A Variational Model for Interactive Shape Prior Segmentation and Real-Time Tracking
In this paper, we introduce a semi-automated segmentation method based on minimizing the Geodesic Active Contour energy incorporating a shape prior. We increase the robustness of t...
Manuel Werlberger, Thomas Pock, Markus Unger, Hors...
VAST
2004
ACM
15 years 11 months ago
Image-Based Registration of 3D-Range Data Using Feature Surface Elements
Digitizing real-life objects via range scanners, stereo vision or tactile sensors usually requires the composition of multiple range images. In this paper we exploit intensity ima...
Gerhard H. Bendels, Patrick Degener, Roland Wahl, ...
NSF
1994
Springer
15 years 10 months ago
Physics in a Fantasy World vs. Robust Statistical Estimation
Deformable models in the \physically-based" paradigm are almost always formulated in an ad-hoc fashion, not related to physical reality { they apply the equations on physics i...
Terrance E. Boult, Samuel D. Fenster, Thomas O'Don...
CVPR
2010
IEEE
15 years 9 months ago
Multi-View Scene Flow Estimation: A View Centered Variational Approach
We present a novel method for recovering the 3D structure and scene flow from calibrated multi-view sequences. We propose a 3D point cloud parametrization of the 3D structure and ...
Tali Bahsa, Yael Moses, Nahum Kiryati