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dc.contributor.authorLensch, Hendrik Peter Asmusen_US
dc.coverage.spatialUniversität des Saarlandes, Germanyen_US
dc.date.accessioned2015-01-21T06:41:34Z
dc.date.available2015-01-21T06:41:34Z
dc.date.issued2003-12-15en_US
dc.identifier.urihttp://diglib.eg.org/handle/10.2312/8160
dc.description.abstractTwo ingredients are necessary to synthesize realistic images: an accurate rendering algorithm and, equally important, high-quality models in terms of geometry and reflection properties. In this dissertation we focus on capturing the appearance of real world objects. The acquired model must represent both the geometry and the reflection properties of the object in order to create new views of the object with novel illumination. Starting from scanned 3D geometry, we measure the reflection properties (BRDF) of the object from images taken under known viewing and lighting conditions. The BRDF measurement require only a small number of input images and is made even more efficient by a view planning algorithm. In particular, we propose algorithms for efficient image-to-geometry registration, and an image-based measurement technique to reconstruct spatially varying materials from a sparse set of images using a point light source. Moreover, we present a view planning algorithm that calculates camera and light source positions for optimal quality and efficiency of the measurement process. Relightable models of real-world objects are requested in various fields such as movie production, e-commerce, digital libraries, and virtual heritage.en_US
dc.formatapplication/pdfen_US
dc.languageEnglishen_US
dc.publisherLensch, Hendrik Peter Asmusen_US
dc.titleEfficient, Image-Based Appearance Acquisitionof Real-World Objectsen_US
dc.typeText.PhDThesisen_US


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