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» Estimating the Probability of Approximate Matches
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DSMML
2004
Springer
14 years 1 months ago
Variational Bayes Estimation of Mixing Coefficients
We investigate theoretically some properties of variational Bayes approximations based on estimating the mixing coefficients of known densities. We show that, with probability 1 a...
Bo Wang 0002, D. M. Titterington
CVPR
2004
IEEE
14 years 11 months ago
Incremental Density Approximation and Kernel-Based Bayesian Filtering for Object Tracking
Statistical density estimation techniques are used in many computer vision applications such as object tracking, background subtraction, motion estimation and segmentation. The pa...
Bohyung Han, Dorin Comaniciu, Ying Zhu, Larry S. D...
ICPR
2006
IEEE
14 years 11 months ago
Compound Stochastic Models For Fingerprint Individuality
The question of fingerprint individuality can be posed as follows: Given a query fingerprint, what is the probability that the observed number of minutiae matches with a template ...
Anil K. Jain, Sarat C. Dass, Yongfang Zhu
ICRA
2009
IEEE
210views Robotics» more  ICRA 2009»
13 years 7 months ago
An adaptive-scale robust estimator for motion estimation
Although RANSAC is the most widely used robust estimator in computer vision, it has certain limitations making it ineffective in some situations, such as the motion estimation prob...
Trung Ngo Thanh, Hajime Nagahara, Ryusuke Sagawa, ...
BMVC
2010
13 years 7 months ago
Deterministic Sample Consensus with Multiple Match Hypotheses
RANSAC (Random Sample Consensus) is a popular and effective technique for estimating model parameters in the presence of outliers. Efficient algorithms are necessary for both fram...
Paul McIlroy, Edward Rosten, Simon Taylor, Tom Dru...