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CVPR
2009
IEEE
15 years 5 months ago
LidarBoost: Depth Superresolution for ToF 3D Shape Scanning
Depth maps captured with time-of-flight cameras have very low data quality: the image resolution is rather limited and the level of random noise contained in the depth maps is v...
Sebastian Schuon (Stanford University), Christian ...
ICPR
2006
IEEE
14 years 11 months ago
Superimposing 3D Virtual Objects using Markerless Tracking
This paper presents a novel methods to estimate the coordinates of a 3D object using the four vertices of a quadrangle and to track the markerless feature points. These methods ar...
Sang-Cheol Park, Sang-Woong Lee, Seong-Whan Lee
CVPR
2010
IEEE
14 years 7 months ago
A Framework for Ultra High Resolution 3D Imaging
We present an imaging framework to acquire 3D surface scans at ultra high-resolutions (exceeding 600 samples per mm2 ). Our approach couples a standard structured-light setup and ...
Zheng Lu, Yu-Wing Tai, Moshe Ben-Ezra, Michael Bro...
ICRA
2009
IEEE
259views Robotics» more  ICRA 2009»
14 years 5 months ago
Fast Point Feature Histograms (FPFH) for 3D registration
— In our recent work [1], [2], we proposed Point Feature Histograms (PFH) as robust multi-dimensional features which describe the local geometry around a point p for 3D point clo...
Radu Bogdan Rusu, Nico Blodow, Michael Beetz
ICMCS
2008
IEEE
148views Multimedia» more  ICMCS 2008»
14 years 5 months ago
Loss tolerance scheme for 3D progressive meshes streaming over networks
– Nowadays, the Internet provides a convenient medium for sharing complex 3D models online. However, transmitting 3D progressive meshes over networks may encounter the problem of...
Hui Li, Ziying Tang, Xiaohu Guo, Balakrishnan Prab...