297 search results - page 21 / 60 » Monte Carlo Localization Using SIFT Features |
CVPR
2003
IEEE
15 years 11 months ago
2003
IEEE
Local feature methods suitable for image feature based object recognition and for the estimation of motion and structure are composed of two steps, namely the `where' and `wh...
103
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ICPR
2008
IEEE
15 years 10 months ago
2008
IEEE
Recognizing and localizing objects is a classical problem in computer vision that is an important stage for many automated systems. In order to perform object recognition many res...
290
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ICA
2012
Springer
13 years 5 months ago
2012
Springer
In this contribution, new online EM algorithms are proposed to perform inference in general hidden Markov models. These algorithms update the parameter at some deterministic times ...
TCSV
2008
14 years 9 months ago
2008
Abstract--This paper proposes a parallel hardware architecture for image feature detection based on the SIFT (Scale Invariant Feature Transform) algorithm and applied to the SLAM (...
UAI
2000
14 years 11 months ago
2000
The K-Means and EM algorithms are popular in clustering and mixture modeling due to their simplicity and ease of implementation. However, they have several significant limitations...