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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...
MICCAI
2007
Springer
14 years 8 months ago
Automatic Inference of Sulcus Patterns Using 3D Moment Invariants
The goal of this work is the automatic inference of frequent patterns of the cortical sulci, namely patterns that can be observed only for a subset of the population. The sulci are...
Zhong Yi Sun, Denis Rivière, Fabrice Poupon...
ICIP
2003
IEEE
14 years 9 months ago
A refined ICP algorithm for robust 3-D correspondence estimation
Robust registration of two 3-D point sets is a common problem in computer vision. The Iterative Closest Point (ICP) algorithm is undoubtedly the most popular algorithm for solving...
Heinrich Niemann, Jochen Schmidt, Timo Zinße...
GIS
2009
ACM
13 years 11 months ago
Next generation map making: geo-referenced ground-level LIDAR point clouds for automatic retro-reflective road feature extractio
This paper presents a novel method to process large scale, ground level Light Detection and Ranging (LIDAR) data to automatically detect geo-referenced navigation attributes (traf...
Xin Chen, Brad Kohlmeyer, Matei Stroila, Narayanan...
COMPGEOM
2009
ACM
14 years 2 months ago
High resolution surface reconstruction from overlapping multiple-views
Extracting a computer model of a real scene from a sequence of views, is one of the most challenging and fundamental problems in computer vision. Stereo vision algorithms allow us...
Nader Salman, Mariette Yvinec