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» Fast and Robust Segmentation of Natural Color Scenes
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ICVS
1999
Springer
13 years 11 months ago
3-D Modelling and Robot Localization from Visual and Range Data in Natural Scenes
Abstract. This paper concerns the exploration of a natural environment by a mobile robot equipped with both a video camera and a range sensor (stereo or laser range finder); we fo...
Carlos Parra, Rafael Murrieta-Cid, Michel Devy, Ma...
IROS
2008
IEEE
114views Robotics» more  IROS 2008»
14 years 1 months ago
Fast color/texture segmentation for outdoor robots
— We present a fast integrated approach for online segmentation of images for outdoor robots. A compact color and texture descriptor has been developed to describe local color an...
Morten Rufus Blas, Motilal Agrawal, Aravind Sundar...
ICIP
1999
IEEE
14 years 8 months ago
Interactive Color Image Segmentation Editor Driven by Active Contour Model
A new general-purpose color image segmentation editor (CISE) for the purpose of extracting a semantic object is designed, implemented and tested on a number of various natural sce...
Jean Gao, Akio Kosaka, Avinash C. Kak
WACV
2008
IEEE
14 years 1 months ago
Segmentation of Salient Regions in Outdoor Scenes Using Imagery and 3-D Data
This paper describes a segmentation method for extracting salient regions in outdoor scenes using both 3-D laser scans and imagery information. Our approach is a bottomup attentiv...
Gunhee Kim, Daniel F. Huber, Martial Hebert
3DPVT
2006
IEEE
183views Visualization» more  3DPVT 2006»
13 years 10 months ago
A CSC Based Classification Method for CT Bone Images
The CSC (color structure code) is a robust and fast two dimensional segmentation method which has been already generalized to three dimensional images. As the CSC does not need an...
Patrick Sturm, Lutz Priese, Haojun Wang