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» Robot Localization Using a Computer Vision Sextant
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ICPR
2008
IEEE
16 years 7 months ago
A new approach to 3D shape recovery of local planar surface patches from shift-variant blurred images
A new approach is presented for 3D shape recovery of local planar surface patches from two shift/spacevariant defocused images. It is based on a recently proposed technique for in...
Murali Subbarao, Xue Tu, Youn-sik Kang
ACIVS
2006
Springer
15 years 10 months ago
Context-Based Scene Recognition Using Bayesian Networks with Scale-Invariant Feature Transform
Scene understanding is an important problem in intelligent robotics. Since visual information is uncertain due to several reasons, we need a novel method that has robustness to the...
Seung-Bin Im, Sung-Bae Cho
EMMCVPR
2009
Springer
16 years 1 months ago
Locally Parallel Textures Modeling with Adapted Hilbert Spaces
This article 3 presents a new adaptive texture model. Locally parallel oscillating patterns are modeled with a weighted Hilbert space defined over local Fourier coefficients. The ...
Pierre Maurel, Jean-François Aujol, Gabriel...
AROBOTS
2002
91views more  AROBOTS 2002»
15 years 6 months ago
Fast, On-Line Learning of Globally Consistent Maps
To navigate in unknown environments, mobile robots require the ability to build their own maps. A major problem for robot map building is that odometry-based dead reckoning cannot ...
Tom Duckett, Stephen Marsland, Jonathan Shapiro
ICCV
2009
IEEE
2301views Computer Vision» more  ICCV 2009»
16 years 11 months ago
Class Segmentation and Object Localization with Superpixel Neighborhoods
We propose a method to identify and localize object classes in images. Instead of operating at the pixel level, we advocate the use of superpixels as the basic unit of a class s...
Brian Fulkerson, Andrea Vedaldi, Stefano Soatto