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» Highly Discriminative Invariant FEatures for Image Matching
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ICPR
2010
IEEE
15 years 14 days ago
Matching Groups of People by Covariance Descriptor
In this paper, we present a new solution to the problem of matching groups of people across multiple nonoverlapping cameras. Similar to the problem of matching individuals across ...
Yinghao Cai, Valtteri Takala, Matti Pietikäin...
CVPR
2010
IEEE
15 years 10 months ago
Unsupervised Learning of Invariant Features Using Video
We present an algorithm that learns invariant features from real data in an entirely unsupervised fashion. The principal benefit of our method is that it can be applied without hu...
David Stavens, Sebastian Thrun
BMVC
2010
14 years 12 months ago
Background Modelling on Tensor Field for Foreground Segmentation
The paper proposes a new method to perform foreground detection by means of background modeling using the tensor concept. Sometimes, statistical modelling directly on image values...
Rui Caseiro, Jorge Batista, Pedro Martins
TMI
2010
122views more  TMI 2010»
15 years 10 days ago
Feature Based Nonrigid Brain MR Image Registration With Symmetric Alpha Stable Filters
—A new feature based nonrigid image registration method for magnetic resonance (MR) brain images is presented in this paper. Each image voxel is represented by a rotation invaria...
Shu Liao, Albert C. S. Chung
ICIP
2003
IEEE
16 years 3 months ago
Improved fingercode for filterbank-based fingerprint matching
FingerCode has been shown to be an effective representation to capture both the local and global information in a fingerprint. However, the performance of FingerCode is influenced...
Lifeng Sha, Feng Zhao, Xiaoou Tang