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AMFG
2005
IEEE
203views Biometrics» more  AMFG 2005»
15 years 5 months ago
Learning to Fuse 3D+2D Based Face Recognition at Both Feature and Decision Levels
2D intensity images and 3D shape models are both useful for face recognition, but in different ways. While algorithms have long been developed using 2D or 3D data, recently has see...
Stan Z. Li, ChunShui Zhao, Meng Ao, Zhen Lei
CRV
2008
IEEE
165views Robotics» more  CRV 2008»
15 years 6 months ago
Hierarchical Stereo with Thin Structures and Transparency
Dense stereo algorithms rely on matching over a range of disparities. To speed up the search and reduce match ambiguity, processing can be embedded in the hierarchical, or coarse-...
Mikhail Sizintsev
ICRA
2006
IEEE
93views Robotics» more  ICRA 2006»
15 years 5 months ago
Robot Navigation using 1D Panoramic Images
— This paper presents a new method for navigation and localization of a mobile robot equipped with an omnidirectional camera. We represent the environment using a collection of o...
Amy J. Briggs, Yunpeng Li, Daniel Scharstein, Matt...
ECCV
2006
Springer
16 years 1 months ago
Optimal Multi-frame Correspondence with Assignment Tensors
Abstract. Establishing correspondence between features of a set of images has been a long-standing issue amongst the computer vision community. We propose a method that solves the ...
R. Oliveira, R. Ferreira, J. P. Costeira
MIAR
2006
IEEE
15 years 5 months ago
A General Learning Framework for Non-rigid Image Registration
This paper presents a general learning framework for non-rigid registration of MR brain images. Given a set of training MR brain images, three major types of information are partic...
Guorong Wu, Feihu Qi, Dinggang Shen