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» Improving Difference Operators by Local Feature Detection
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ECCV
2008
Springer
14 years 9 months ago
3D Face Recognition by Local Shape Difference Boosting
Abstract. A new approach, called Collective Shape Difference Classifier (CSDC), is proposed to improve the accuracy and computational efficiency of 3D face recognition. The CSDC le...
Yueming Wang, Xiaoou Tang, Jianzhuang Liu, Gang Pa...
FGR
2000
IEEE
131views Biometrics» more  FGR 2000»
14 years 9 days ago
Robust Facial Feature Localization by Coupled Features
In this paper, we consider the problem of robust localization of faces and some of their facial features. The task arises e.g. in the medical field of visual analysis of facial p...
Matthias Zobel, Arnd Gebhard, Dietrich Paulus, Joa...
IBPRIA
2009
Springer
14 years 15 days ago
Local Boosted Features for Pedestrian Detection
The present paper addresses pedestrian detection using local boosted features that are learned from a small set of training images. Our contribution is to use two boosting steps. T...
Michael Villamizar, Alberto Sanfeliu, Juan Andrade...
ICRA
2010
IEEE
178views Robotics» more  ICRA 2010»
13 years 6 months ago
Autonomous operation of novel elevators for robot navigation
— Although robot navigation in indoor environments has achieved great success, robots are unable to fully navigate these spaces without the ability to operate elevators, includin...
Ellen Klingbeil, Blake Carpenter, Olga Russakovsky...
ISBI
2009
IEEE
14 years 2 months ago
Probabilistic Branching Node Detection Using Hybrid Local Features
Probabilistic branching node inference is an important step for analyzing branching patterns involved in many anatomic structures. We propose combining machine learning techniques...
Haibin Ling, Michael Barnathan, Vasileios Megalooi...