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CVPR
2011
IEEE
13 years 21 days ago
Effective 3D Object Detection and Regression Using Probabilistic Segmentation Features in CT Images
3D object detection and importance regression/ranking are at the core for semantically interpreting 3D medical images of computer aided diagnosis (CAD). In this paper, we propose ...
Le Lu, Jinbo Bi, Matthias Wolf, Marcos Salganicoff
ICRA
1999
IEEE
106views Robotics» more  ICRA 1999»
14 years 1 months ago
Haptic Exploration of Fine Surface Features
In this paper we consider the detection of small surface features, such as ridges and bumps, on the surface of an object during dextrous manipulation. First we review the represen...
Allison M. Okamura, Mark R. Cutkosky
ECCV
2006
Springer
14 years 19 days ago
SIFT and Shape Context for Feature-Based Nonlinear Registration of Thoracic CT Images
Nonlinear image registration is a prerequisite for various medical image analysis applications. Many data acquisition protocols suffer from problems due to breathing motion which h...
Martin Urschler, Joachim Bauer, Hendrik Ditt, Hors...
ICPR
2008
IEEE
14 years 3 months ago
GA based feature generation for training cascade object detector
Viola et al. have introduced a fast object detection scheme based on a boosted cascade of haar-like features. In this paper, we introduce a novel ternary feature that enriches the...
Qian Chen, Haiyuan Wu, Toshikazu Wada, Kazuyuki Ma...
AVSS
2006
IEEE
14 years 3 months ago
Combined 2D/3D Face Recognition Using Log-Gabor Templates
The addition of Three Dimensional (3D) data has the potential to greatly improve the accuracy of Face Recognition Technologies by providing complementary information. In this pape...
Jamie Cook, Chris McCool, Vinod Chandran, Sridha S...