Graphics enhanced 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.

Jump to: Download | Abstract | Notes | Text Reference | BibTeX Reference

Adobe portable document format (pdf) [3158 KB]

Copyright notice: This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.

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.

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

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.

@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"
}