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85
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ICPR
2006
IEEE
16 years 1 months ago
Pores and Ridges: Fingerprint Matching Using Level 3 Features
Fingerprint friction ridge details are generally described in a hierarchical order at three levels, namely, Level 1 (pattern), Level 2 (minutiae points) and Level 3 (pores and rid...
Anil K. Jain, Meltem Demirkus, Yi Chen
92
Voted
ICPR
2006
IEEE
16 years 1 months ago
Fingerprint Matching Using Minutia Polygons
Fingerprint distortion changes both the geometric position and orientation of minutiae, and leads to difficulties in establishing a match among multiple impressions acquired from ...
Tetsuo Asano, Xuefeng Liang
105
Voted
MMM
2007
Springer
110views Multimedia» more  MMM 2007»
15 years 6 months ago
A Matching-Based Approach for Human Motion Analysis
Abstract. This paper presents a novel approach to implement estimation and recognition of human motion from uncalibrated monocular video sequences. As it is difficult to find a go...
Weilun Lao, Jungong Han, Peter H. N. de With
104
Voted
CRV
2006
IEEE
128views Robotics» more  CRV 2006»
15 years 6 months ago
Local Stereo Matching with Segmentation-based Outlier Rejection
We present a new window-based stereo matching algorithm which focuses on robust outlier rejection during aggregation. The main difficulty for window-based methods lies in determi...
Mark Gerrits, Philippe Bekaert
133
Voted
JWSCG
2011
256views more  JWSCG 2011»
14 years 3 months ago
Accurate Real-Time Multi-Camera Stereo-Matching on the GPU for 3D Reconstruction
Using multi-camera matching techniques for 3d reconstruction there is usually the trade-off between the quality of the computed depth map and the speed of the computations. Wherea...
Klaus Denker, Georg Umlauf