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  4. Light field methods for the visual inspection of transparent objects
 
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2019
Doctoral Thesis
Titel

Light field methods for the visual inspection of transparent objects

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.

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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.
ThesisNote
Zugl.: Karlsruhe, Inst. für Technologie (KIT), Diss., 2018
Author(s)
Meyer, Johannes
Verlag
KIT Scientific Publishing
Verlagsort
Karlsruhe
DOI
10.5445/KSP/1000091872
File(s)
N-574925.pdf (69.36 MB)
Language
English
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Fraunhofer-Institut für Optronik, Systemtechnik und Bildauswertung IOSB
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