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RI | Publications | Segmentation of Salient Regions in Outdoor Scenes Using Imagery and 3-D Data
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Text only version of this site
Segmentation of Salient Regions in Outdoor Scenes Using Imagery and 3-D Data
G. Kim, D. Huber, and M. Hebert
IEEE Workshop on Applications of Computer VIsion (WACV08), IEEE Computer Society, January, 2008.
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| Abstract |
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 bottom-up attentive process without any high-level priors, models, or learning. As a mid-level vision task, it is not only robust against noise and outliers but it also provides valuable information for other high-level tasks in the form of optimal segments and their ranked saliency. In this paper, we propose a new saliency definition for 3-D point clouds and we incorporate it with saliency features from color information.
| Notes |
Sponsor: U.S Army Research Laboratory
Grant ID: DAAD19-01-2-0012
Associated centers: VASC and FRC
Associated lab/group: NavLab
Associated project: CTA Robotics
Number of pages: 8
| Text Reference |
G. Kim, D. Huber, and M. Hebert, "Segmentation of Salient Regions in Outdoor Scenes Using Imagery and 3-D Data," IEEE Workshop on Applications of Computer VIsion (WACV08), IEEE Computer Society, January, 2008.
| BibTeX Reference |
@inproceedings{Kim_2008_5929,
author = "Gunhee Kim and Daniel Huber and Martial Hebert",
title = "Segmentation of Salient Regions in Outdoor Scenes Using Imagery and 3-D Data",
booktitle = "IEEE Workshop on Applications of Computer VIsion (WACV08)",
month = "January",
year = "2008",
publisher = "IEEE Computer Society"
}