Welcome!
To use the personalized features of this site, please log in or register.
If you have forgotten your username or password, we can help.
|
 |
Qualitative Estimation of Depth in Monocular Vision
| Book Series | Lecture Notes in Computer Science |
| Publisher | Springer Berlin / Heidelberg |
| ISSN | 0302-9743 (Print) 1611-3349 (Online) |
| Volume | Volume 2059/2001 |
| Book | Visual Form 2001 |
| DOI | 10.1007/3-540-45129-3 |
| Copyright | 2001 |
| ISBN | 978-3-540-42120-7 |
| DOI | 10.1007/3-540-45129-3_11 |
| Pages | 135-144 |
| Subject Collection | Computer Science |
| SpringerLink Date | Monday, January 01, 2001 |
| |
|
Qualitative Estimation of Depth in Monocular Vision
Virginio Cantoni6 , Luca Lombardi6 , Marco Porta6 and Ugo Vallone6 
| (6) |
Dipartimento di Informatica e Sistemistica, Università di Pavia, Via Ferrata, 1, 27100 Pavia, Italy |
Abstract
In this paper we propose two techniques to qualitatively estimate distance in monocular vision. Two kinds of approaches are
described, the former based on texture analysis and the latter on histogram inspection. Although both the methods allow only
to determine whether a point within an image is nearer or farther than another with respect to the observer, they can be usefully
exploited in all those cases where precision is not critical or single images are the only source of information available.
Moreover, combined with previously studied techniques, they could be used to provide more accurate results. Step by step algorithms
will be presented, along with examples illustrating their application to real images.
Fulltext Preview (Small, Large)
 References secured to subscribers.
|
|
|
|
|
|