Stereoscopic depth estimation for online vision systems

Nils Einecke

Stereoscopic depth estimation for online vision systems

Autor: Nils Einecke

ISBN: 978-3-86360-044-0

Seitenzahl: 161

Erscheinungsdatum: 01.12.2012


Print on Demand – bis zu 10 Werktage Lieferzeit!

20,50 € *

Produktinformationen "Stereoscopic depth estimation for online vision systems"

A lot of work has been done in the area of machine stereo vision, but a severe drawback of today's algorithms is that they either achieve high accuracy and robustness by sacrificing real-time speed or they are real-time capable but with major deficiencies in quality. In order to tackle this problem this thesis presents two new methods which exhibit a very good balance between computational effort and depth accuracy. First, the summed normalized cross-correlation is proposed which constitutes a new cost function for block-matching stereo processing. In contrast to most standard cost functions it hardly suffers from the fattening effect while being computationally very effi cient. Second, the direct surface fi tting, a new algorithm for fi tting parametric surface models to stereo images, is introduced. This algorithm is inspired by the homography-constrained gradient descent methods but in contrast to these allows also for the estimation of non-planar surfaces. Experimental evaluations demonstrate that both newly introduced algorithms are competitive to state-of-the-art in terms of accuracy while having a much lower computational time.

Weiterführende Links zu "Stereoscopic depth estimation for online vision systems"

Bücher in diesem Shop von Nils Einecke

Kundenbewertungen für "Stereoscopic depth estimation for online vision systems"

Bewertungen werden nach Überprüfung freigeschaltet.

Bewertung schreiben


Die mit einem * markierten Felder sind Pflichtfelder.