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Light field methods for the visual inspection of transparent objects

 
: Meyer, Johannes

:
Volltext urn:nbn:de:0072-918723 (69 MByte PDF)
MD5 Fingerprint: 566c97bee1403c8c8e7eadccb8d43e36
Erstellt am: 13.2.2020


Karlsruhe: KIT Scientific Publishing, 2019, XX, 232 S.
Zugl.: Karlsruhe, Inst. für Technologie (KIT), Diss., 2018
Schriftenreihe Automatische Sichtprüfung und Bildverarbeitung, 15
ISBN: 978-3-7315-0912-7
Englisch
Dissertation, Elektronische Publikation
Fraunhofer IOSB ()

Abstract
Transparent objects play crucial roles in humans’ everyday life, must meet high quality requirements and therefore must be visually inspected. Developing automated visual inspection systems for complex-shaped transparent objects still represents a challenging task. As a solution, this book introduces light field methods for all main components of a visual inspection system: a novel light field sensor, suitable processing methods and a light field illumination approach.

 

This work presents a new approach for estimating 3D human poses based on monocular camera information only. For this, the Implicit Shape Model is augmented by new voting strategies that allow to localize 2D anatomical landmarks in the image. The actual 3D pose estimation is then formulated as a Particle Swarm Optimization (PSO) where projected 3D pose hypotheses are compared with the generated landmark vote distributions.

: http://publica.fraunhofer.de/dokumente/N-574925.html