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» Optimal Feature Selection for Subspace Image Matching
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AMFG
2005
IEEE
203views Biometrics» more  AMFG 2005»
15 years 7 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
ICCV
2007
IEEE
15 years 3 months ago
Ten-fold Improvement in Visual Odometry Using Landmark Matching
Our goal is to create a visual odometry system for robots and wearable systems such that localization accuracies of centimeters can be obtained for hundreds of meters of distance ...
Zhiwei Zhu, Taragay Oskiper, Supun Samarasekera, R...
ISBI
2006
IEEE
16 years 2 months ago
An interactive hybrid non-rigid registration framework for 3D medical images
This paper proposes a new interactive hybrid non-rigid registration framework that combines any intensity-based algorithm with a feature-based component, using an iterative dual e...
Antoine Azar, Chenyang Xu, Xavier Pennec, Nicholas...
ECCV
1998
Springer
16 years 3 months ago
A Two-Stage Probabilistic Approach for Object Recognition
Assume that some objects are present in an image but can be seen only partially and are overlapping each other. To recognize the objects, we have to rstly separate the objects from...
Stan Z. Li, Joachim Hornegger
HVEI
2010
14 years 11 months ago
No-reference image quality assessment based on localized gradient statistics: application to JPEG and JPEG2000
This paper presents a novel system that employs an adaptive neural network for the no-reference assessment of perceived quality of JPEG/JPEG2000 coded images. The adaptive neural ...
Hantao Liu, Judith Redi, Hani Alers, Rodolfo Zunin...