Efficient, Image-Based Appearance Acquisition of Real-World Objects

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.