Machine Vision Algorithms and Applications

Carsten Steger

ISBN 10: 3527413650 / ISBN 13: 9783527413652

Edité par Wiley-VCH Jan 2018, 2018

A propos de cet article

Neuware - Die zweite Auflage dieses erfolgreichen Lehrbuchs zum maschinellen Sehen ist vollständig aktualisiert, überarbeitet und erweitert, um die Entwicklungen der vergangenen Jahre auf den Gebieten der Bilderfassung, Algorithmen des maschinellen Sehens und dessen Anwendungen zu berücksichtigen. Hinzugekommen sind insbesondere neue Kameratechniken und Schnittstellen, 3D-Sensorik und -technologie, 3D-Objekterkennung und 3D-Bildrekonstruktion. Die Autoren folgen weiterhin dem Ansatz 'soviel Theorie wie nötig, soviel Anwendungsbezug wie möglich'. Alle Beispiele basieren auf der aktuellen Version der Software HALCON, von der nach Registrierung auf der Autorenwebseite eine Testversion erhältlich ist.

N° de réf. du vendeur 9783527413652

Détails bibliographiques

• Titre: Machine Vision Algorithms and Applications
• Éditeur: Wiley-VCH Jan 2018
• Date de parution: 2018
• Langue: anglais
• ISBN à 10 chiffres: 3527413650
• ISBN à 13 chiffres: 9783527413652
• Reliure: Taschenbuch
• Édition: 2ème Édition
• État de l'article: Neu

A propos de ce titre

Synopsis

The second edition of this successful machine vision textbook is completely updated, revised and expanded by 35% to reflect the developments of recent years in the fields of image acquisition, machine vision algorithms and applications. The new content includes, but is not limited to, a discussion of new camera and image acquisition interfaces, 3D sensors and technologies, 3D reconstruction, 3D object recognition and state-of-the-art classification algorithms. The authors retain their balanced approach with sufficient coverage of the theory and a strong focus on applications. All examples are based on the latest version of the machine vision software HALCON 13.

À propos de l?auteur

Carsten Steger studied computer science at the Technical University of Munich (TUM) and received his PhD degree from TUM in 1998. In 1996, he co-founded the company MVTec, where he heads the Research department. He has authored and co-authored more than 80 scientific publications in the field of computer and machine vision. In 2011, he was appointed a TUM honorary professor for the field of computer vision.

Markus Ulrich studied Geodesy and Remote Sensing at the Technical University of Munich (TUM) and received his PhD degree from TUM in 2003. In 2003, he joined MVTec?s Research and Development department as a software engineer and became head of the research team in 2008. He has authored and co-authored scientific publications in the fields of photogrammetry and machine vision. Markus Ulrich is also a guest lecturer at TUM, where he teaches close-range photogrammetry. In 2017, he was appointed a Privatdozent (lecturer) at the Karlsruhe Institute of Technology (KIT) for the field of machine vision.

Christian Wiedemann studied Geodesy and Remote Sensing at the Technical University of Munich (TUM) and received his PhD degree from TUM in 2001. He has authored and co-authored more than 40 scientific publications in the fields of photogrammetry, remote sensing, and machine vision. In 2003, he joined MVTec's Research and Development department as a software engineer. Since 2008, he has held different leading positions at MVTec.