Open access peer-reviewed chapter

Combination of Sparse Scan and Dense Scan for Fast Vision-based Object Recognition

By Tam Phuong Cao

Submitted: June 6th 2010Reviewed: December 16th 2010Published: April 1st 2011

DOI: 10.5772/15218

Downloaded: 1309

© 2011 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike-3.0 License, which permits use, distribution and reproduction for non-commercial purposes, provided the original is properly cited and derivative works building on this content are distributed under the same license.

How to cite and reference

Link to this chapter Copy to clipboard

Cite this chapter Copy to clipboard

Tam Phuong Cao (April 1st 2011). Combination of Sparse Scan and Dense Scan for Fast Vision-based Object Recognition, Object Recognition Tam Phuong Cao, IntechOpen, DOI: 10.5772/15218. Available from:

Embed this chapter on your site Copy to clipboard

<iframe src="http://www.intechopen.com/embed/object-recognition/combination-of-sparse-scan-and-dense-scan-for-fast-vision-based-object-recognition" />

Embed this code snippet in the HTML of your website to show this chapter

chapter statistics

1309total chapter downloads

More statistics for editors and authors

Login to your personal dashboard for more detailed statistics on your publications.

Access personal reporting

Related Content

This Book

Next chapter

An Approach for Moving Object Recognition Based on BPR and CI

By Li Wang, Lida Xu, Renjing Liu and Hai Hong Wang

Related Book

First chapter

Energy Feature Integration for Motion Segmentation

By Raquel Dosil, Xose R. Fdez-Vidal, Xose M. Pardo and Anton Garcia

We are IntechOpen, the world's leading publisher of Open Access books. Built by scientists, for scientists. Our readership spans scientists, professors, researchers, librarians, and students, as well as business professionals. We share our knowledge and peer-reveiwed research papers with libraries, scientific and engineering societies, and also work with corporate R&D departments and government entities.

+3,550 Open Access Books

+57,400 Citations in Web of Science

+108,500 IntechOpen Authors and Academic Editors

+560,000 Unique visitors per month

More about us