Qualitative Estimation of Depth in Monocular Vision

Virginio Cantoni, Luca Lombardi, Marco Porta and Ugo Vallone

Dipartimento di Informatica e Sistemistica - Università di Pavia
Via Ferrata, 1 - 27100 - Pavia - Italy

virginio.cantoni@unipv.it -  luca.lombardi@unipv.it -  porta@vision.unipv.it -  vallone@vision.unipv.it


Published in the Proceedings of the 4th International Workshop on Visual Form (IWVF4), May 28-30, 2001, Capri, Italy (Springer-Verlag, series "Lecture Notes in Computer Science", number LNCS 2059).
Springer-Verlag (2001)

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.



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