Publication details

Bidirectional Texture Function Simultaneous Autoregressive Model

Conference Paper (international conference)

Haindl Michal, Havlíček Michal

serial: Computational Intelligence for Multimedia Understanding, p. 149-159

action: MUSCLE, (Pisa, IT, 13.12.2011-15.12.2011)

project(s): 1M0572, GA MŠk, 387/2010, CESNET, GA102/08/0593, GA ČR, GAP103/11/0335, GA ČR

keywords: bidirectional texture function, texture analysis, texture synthesis, data compression, virtual reality

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abstract (eng):

The Bidirectional Texture Function (BTF) is the recent most advanced representation of visual properties of surface materials. It specifies their altering appearance due to varying illumination and viewing conditions. Corresponding huge BTF measurements require a mathematical representation allowing simultaneously extremal compression as well as high visual fidelity. We present a novel Markovian BTF model based on a set of underlying simultaneous autoregressive models (SAR). This complex but efficient BTF-SAR model combines several multispectral band limited spatial factors and range map sub-models to produce the required BTF texture space. The BTF-SAR model enables very high BTF space compression ratio, texture enlargement, and reconstruction of missing unmeasured parts of the BTF space.