297 search results - page 14 / 60 » Monte Carlo Localization Using SIFT Features |
ICVS
2009
Springer
15 years 4 months ago
2009
Springer
Abstract. Most visual Simultaneous Localization And Mapping (SLAM) methods use interest points as landmarks in their maps of the environment. Often the interest points are detected...
CORR
2010
Springer
14 years 9 months ago
2010
Springer
This paper presents a new face identification system based on Graph Matching Technique on SIFT features extracted from face images. Although SIFT features have been successfully us...
DAGM
2008
Springer
14 years 11 months ago
2008
Springer
Abstract. Probabilistic models with hidden variables such as probabilistic Latent Semantic Analysis (pLSA) and Latent Dirichlet Allocation (LDA) have recently become popular for so...
ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE
Many computer vision algorithms make use of local features, and rely on a systematic comparison of these features. The chosen dissimilarity measure is of crucial importance for th...
ICIP
2002
IEEE
15 years 11 months ago
2002
IEEE
We describe a method for inferring tree-like vascular structures from 2D imagery. A Markov Chain Monte Carlo (MCMC) algorithm is employed to produce approximate samples from the p...