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» Methods for Feature Detection in Point Clouds
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AGILE
2009
Springer
343views GIS» more  AGILE 2009»
14 years 3 months ago
Line Decomposition Based on Critical Points Detection
The problem of line simplification is a recurrent problem in cartography. The purpose is to remove irrelevant details while emphasising the main features of the line. Most of the ...
Eric Guilbert
CVPR
2007
IEEE
14 years 10 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...
CVPR
2009
IEEE
15 years 3 months ago
Dense saliency-based spatiotemporal feature points for action recognition
Several spatiotemporal feature point detectors have been recently used in video analysis for action recognition. Feature points are detected using a number of measures, namely sali...
Konstantinos Rapantzikos, Stefanos D. Kollias, Yan...
ICPR
2006
IEEE
14 years 9 months ago
Fingerprint Reference Point Detection Based on Local Axial Symmetry
Reference point detection is an important process for fingerprint analysis. In this paper, we propose a novel feature which is named local axial symmetry (LAS) and present an algo...
Chao Zhang, Pengwei Hao, Tong Liu
ICPR
2008
IEEE
14 years 3 months ago
Ranking the local invariant features for the robust visual saliencies
Local invariant feature based methods have been proven to be effective in computer vision for object recognition and learning. But for an image, the number of points detected and ...
Shengping Xia, Peng Ren, Edwin R. Hancock