Open access peer-reviewed chapter

Estimating 3D Surface Depth Based on Depth-of-Field Image Fusion

By Marcin Denkowski, Pawel Mikolajczak and Michal Chlebiej

Submitted: May 27th 2010Reviewed: September 14th 2010Published: January 12th 2011

DOI: 10.5772/14661

Downloaded: 2222

© 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

Marcin Denkowski, Pawel Mikolajczak and Michal Chlebiej (January 12th 2011). Estimating 3D Surface Depth Based on Depth-of-Field Image Fusion, Image Fusion Osamu Ukimura, IntechOpen, DOI: 10.5772/14661. Available from:

Embed this chapter on your site Copy to clipboard

<iframe src="http://www.intechopen.com/embed/image-fusion/estimating-3d-surface-depth-based-on-depth-of-field-image-fusion" />

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

chapter statistics

2222total 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

EM-Based Bayesian Fusion of Hyperspectral and Multispectral Images

By Yifan Zhang

Related Book

First chapter

A Survey of Image Segmentation by the Classical Method and Resonance Algorithm

By Fengzhi Dai, Masanori Sugisaka and Baolong Zhang

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