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» Feature Space Trajectory Methods for Active Computer Vision
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ECCV
2000
Springer
14 years 4 days ago
Factorization with Uncertainty
Factorization using Singular Value Decomposition (SVD) is often used for recovering 3D shape and motion from feature correspondences across multiple views. SVD is powerful at find...
Michal Irani, P. Anandan
CVPR
2000
IEEE
14 years 9 months ago
Spatio-Temporal Analysis of Omni Image
This paper describes an efficient method to obtain 3D information by using spatio-temporal analysis of omni images for outdoor navigation and map-making in the intelligent transpo...
Hiroshi Kawasaki, Katsushi Ikeuchi, Masao Sakauchi
CVPR
2006
IEEE
14 years 9 months ago
Pursuing Informative Projection on Grassmann Manifold
Inspired by the underlying relationship between classification capability and the mutual information, in this paper, we first establish a quantitative model to describe the inform...
Dahua Lin, Shuicheng Yan, Xiaoou Tang
CVPR
2006
IEEE
14 years 1 months ago
Learning Non-Metric Partial Similarity Based on Maximal Margin Criterion
The performance of many computer vision and machine learning algorithms critically depends on the quality of the similarity measure defined over the feature space. Previous works...
Xiaoyang Tan, Songcan Chen, Jun Li, Zhi-Hua Zhou
ICCV
2009
IEEE
15 years 24 days ago
Keyframe-Based Real-Time Camera Tracking
We present a novel keyframe selection and recognition method for robust markerless real-time camera tracking. Our system contains an ofine module to select features from a grou...
Zilong Dong, Guofeng Zhang, Jiaya Jia, Hujun Bao