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» Robot Localization Using a Computer Vision Sextant
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ICPR
2008
IEEE
16 years 3 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
165
Voted
ACIVS
2006
Springer
15 years 6 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
15 years 9 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...
141
Voted
AROBOTS
2002
91views more  AROBOTS 2002»
15 years 2 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
136
Voted
ICCV
2009
IEEE
2301views Computer Vision» more  ICCV 2009»
16 years 7 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