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» Application of Level Set Methods in Computer Vision
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CVPR
2000
IEEE
16 years 8 months ago
Improving Visual Matching
Many visual matching algorithms can be described in terms of the features and the inter-feature distance or metric. The most commonly used metric is the sum of squared di erences ...
Michael S. Lew, Nicu Sebe, Thomas S. Huang
HAPTICS
2002
IEEE
15 years 11 months ago
Autostereoscopic and Haptic Visualization for Space Exploration and Mission Design
We have developed a multi-modal virtual environment set-up by fusing visual and haptic images through the use of a new autostereoscopic display and a force-feedback haptic device....
Cagatay Basdogan, Mitchell J. H. Lum, Jose Salcedo...
ICCVW
1999
Springer
15 years 11 months ago
Optimization Criteria, Sensitivity and Robustness of Motion and Structure Estimation
The prevailing efforts to study the standard formulation of motion and structure recovery have been recently focused on issues of sensitivity and and robustness of existing techn...
Jana Kosecka, Yi Ma, Shankar Sastry
ICCV
2009
IEEE
15 years 4 months ago
On optimizing subspaces for face recognition
We propose a subspace learning algorithm for face recognition by directly optimizing recognition performance scores. Our approach is motivated by the following observations: 1) Di...
Jilin Tu, Xiaoming Liu, Peter Henry Tu
CVPR
2011
IEEE
14 years 10 months ago
Learning-based Hypothesis Fusion for Robust Catheter Tracking in 2D X-ray Fluoroscopy
Catheter tracking has become more and more important in recent interventional applications. It provides real time guidance for the physicians and can be used as motion compensated...
Wen Wu, Terrence Chen, Adrian Barbu, Peng Wang, No...