297 search results - page 16 / 60 » Monte Carlo Localization Using SIFT Features |
IROS
2007
IEEE
15 years 3 months ago
2007
IEEE
— We present a robot localization system using biologically-inspired vision. Our system models two extensively studied human visual capabilities: (1) extracting the “gist” of...
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PSIVT
2009
Springer
15 years 4 months ago
2009
Springer
PCA-SIFT is an extension to SIFT which aims to reduce SIFT’s high dimensionality (128 dimensions) by applying PCA to the gradient image patches. However PCA is not a discriminati...
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ACCV
2006
Springer
15 years 3 months ago
2006
Springer
Abstract. In this paper, we present a new, biologically inspired perceptual feature to solve the selectivity and invariance issue in object recognition. Based on the recent findin...
ICPR
2006
IEEE
15 years 10 months ago
2006
IEEE
This paper describes an efficient vision-based global topological localization approach that uses a coarse-tofine strategy. Orientation Adjacency Coherence Histogram (OACH), a nov...
CVPR
2005
IEEE
15 years 3 months ago
2005
IEEE
We introduce a new method that characterizes typical local image features (e.g., SIFT [9], phase feature [3]) in terms of their distinctiveness, detectability, and robustness to i...