Skip to main content
Article thumbnail
Location of Repository

Qualitative Estimation of Depth in Monocular Vision

By Virginio Cantoni, Luca Lombardi, Marco Porta and Ugo Vallone

Abstract

In this paper we propose two techniques to qualitatively estimate disrance 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

Publisher: Springer-Verlag
Year: 2001
OAI identifier: oai:CiteSeerX.psu:10.1.1.18.4865
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • http://citeseerx.ist.psu.edu/v... (external link)
  • http://vision.unipv.it/researc... (external link)
  • Suggested articles


    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.