Architectures for stereo vision

verfasst von

Christian Banz, Holger Blume, Peter Pirsch

Abstract

Stereo vision is an elementary problem for many computer vision tasks. It has been widely studied under the two aspects of increasing the quality of the results and accelerating the computational processes. This chapter provides theoretic background on stereo vision systems and discusses architectures and implementations for real-time applications. In particular, the computationally most intensive part, the stereo matching, is discussed on the example of one of the leading algorithms, the semi-global matching (SGM). For this algorithm two implementations are presented in detail on two of the most relevant platforms for real-time image processing today: Field Programmable Gate Arrays (FPGAs) and Graphics Processing Units (GPUs). Thus, the major differences in designing parallelization techniques for extremely different image processing platforms are being illustrated.

Organisationseinheit(en)

Institut für Mikroelektronische Systeme

Typ

Beitrag in Buch/Sammelwerk

Seiten

483-515

Anzahl der Seiten

33

Publikationsdatum

10.05.2013

Publikationsstatus

Veröffentlicht

Peer-reviewed

Ja

ASJC Scopus Sachgebiete

Ingenieurwesen (insg.), Informatik (insg.)

Elektronische Version(en)

https://doi.org/10.1007/978-1-4614-6859-2_16 (Zugang: Geschlossen)