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» Robust Smooth Feature Extraction from Point Clouds
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CVPR
2007
IEEE
14 years 9 months ago
Kernel-Based 3D Tracking
We present a computer vision system for robust object tracking in 3D by combining evidence from multiple calibrated cameras. This kernel-based 3D tracker is automatically bootstra...
Ambrish Tyagi, Mark A. Keck, James W. Davis, Geras...
IJCV
2012
11 years 10 months ago
Feature-Based Deformable Surface Detection with Self-Occlusion Reasoning
Abstract This paper presents a method for detecting a textured deformed surface in an image. It uses (wide-baseline) point matches between a template and the input image. The main ...
Daniel Pizarro, Adrien Bartoli
ISBI
2006
IEEE
14 years 8 months ago
Tracking cortical surface deformations based on vessel structure using a laser range scanner
This paper reports a vessel structure based non-rigid registration method for cortical surface registration and deformation tracking using a laser-range scanner(LRS). The LRS cont...
Aize Cao, Prashanth Dumpuri, Michael I. Miga
3DPVT
2006
IEEE
295views Visualization» more  3DPVT 2006»
13 years 9 months ago
Efficient Sparse 3D Reconstruction by Space Sweeping
This paper introduces a feature based method for the fast generation of sparse 3D point clouds from multiple images with known pose. We extract sub-pixel edge elements (2D positio...
Joachim Bauer, Christopher Zach, Horst Bischof
SMA
2003
ACM
169views Solid Modeling» more  SMA 2003»
14 years 25 days ago
Surface reconstruction of freeform objects based on multiresolution volumetric method
3D scanners developed over the past several decades have facilitated the reconstruction of complicated engineering parts. Typically the boundary representation of a part is recons...
Sergei Azernikov, Alex Miropolsky, Anath Fischer