Friday, May 11, 2007
Compression and real-time Rendering of measured BTFs using local PCA
Gero Müller, Jan Meseth, Reinhard Klein
Vision, Modeling and Visualization 2003
Abstract
The Bidirectional Texture Function (BTF) is a suitable representation for the appearance of highly detailed surface structures under varying illumination and viewing conditions. In most current approaches the BTF is aquired by a series of images of a flat probe taken under different light and camera positions. Due to its huge size, real-time rendering of objects textured with this six-dimensional data requires suitable approximations.
In this paper we present a new approach for BTF-compression and real-time rendering using much less memory than other comparable approaches whilst achieving similar quality. Our method exploits a BRDF-wise arrangement of the data and employs a flexible generalization of the well-known Principal Component Analysis (PCA) named local PCA for the data compression.
paper (pdf)
Vision, Modeling and Visualization 2003
Abstract
The Bidirectional Texture Function (BTF) is a suitable representation for the appearance of highly detailed surface structures under varying illumination and viewing conditions. In most current approaches the BTF is aquired by a series of images of a flat probe taken under different light and camera positions. Due to its huge size, real-time rendering of objects textured with this six-dimensional data requires suitable approximations.
In this paper we present a new approach for BTF-compression and real-time rendering using much less memory than other comparable approaches whilst achieving similar quality. Our method exploits a BRDF-wise arrangement of the data and employs a flexible generalization of the well-known Principal Component Analysis (PCA) named local PCA for the data compression.
paper (pdf)
Labels: Publications
# posted by Gero Müller @ 10:45 AM 
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