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Acquisition, Modeling, and Augmentation of Reflectance for Synthetic Optical Flow Reference Data

Güssefeld, Burkhard

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This thesis is concerned with the acquisition, modeling, and augmentation of material reflectance to simulate high-fidelity synthetic data for computer vision tasks. The topic is covered in three chapters: I commence with exploring the upper limits of reflectance acquisition. I analyze state-of-the-art BTF reflectance field renderings and show that they can be applied to optical flow performance analysis with closely matching performance to real-world images. Next, I present two methods for fitting efficient BRDF reflectance models to measured BTF data. Both methods combined retain all relevant reflectance information as well as the surface normal details on a pixel level. I further show that the resulting synthesized images are suited for optical flow performance analysis, with a virtually identical performance for all material types. Finally, I present a novel method for augmenting real-world datasets with physically plausible precipitation effects, including ground surface wetting, water droplets on the windshield, and water spray and mists. This is achieved by projecting the realworld image data onto a reconstructed virtual scene, manipulating the scene and the surface reflectance, and performing unbiased light transport simulation of the precipitation effects.

Item Type: Dissertation
Supervisor: Jähne, Prof. Dr. Bernd
Place of Publication: Heidelberg
Date of thesis defense: 19 December 2019
Date Deposited: 14 Jan 2020 11:06
Date: 2020
Faculties / Institutes: The Faculty of Mathematics and Computer Science > Dean's Office of The Faculty of Mathematics and Computer Science
Service facilities > Interdisciplinary Center for Scientific Computing
Service facilities > Heidelberg Collaboratory for Image Processing (HCI)
Subjects: 004 Data processing Computer science
500 Natural sciences and mathematics
Controlled Keywords: Computergrafik, Bidirektionale Reflektanzverteilungsfunktion, Optische Messung, Optischer Fluss
Uncontrolled Keywords: Referenzdaten, Ground Truth, Reflektanzfeld Messung, Reflektanz Modelierung, Augmentierte Realität
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