297 search results - page 20 / 60 » Monte Carlo Localization Using SIFT Features |
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ICCV
2011
IEEE
13 years 9 months ago
2011
IEEE
We propose a novel way to induce a random field from an energy function on discrete labels. It amounts to locally injecting noise to the energy potentials, followed by finding t...
ICPR
2006
IEEE
15 years 10 months ago
2006
IEEE
Approaches based on local features and descriptors are increasingly used for the task of object recognition due to their robustness with regard to occlusions and geometrical defor...
IJRR
2010
14 years 8 months ago
2010
The solution to the problem of mapping an environment and at the same time using this map to localize (the simultaneous localization and mapping, SLAM, problem) is a key prerequis...
IROS
2006
IEEE
15 years 3 months ago
2006
IEEE
— This paper presents an approach to vision-based simultaneous localization and mapping (SLAM). Our approach uses the scale invariant feature transform (SIFT) as features and app...
ICMCS
2007
IEEE
15 years 3 months ago
2007
IEEE
Particle filter is a sequential Monte Carlo method for object tracking in a recursive Bayesian filtering framework. The efficiency and accuracy of the particle filter depends on t...