Institute of Information Theory and Automation

Publication details

Rapid Material Appearance Acquisition Using Consumer Hardware

Journal Article

Filip Jiří, Vávra Radomír, Krupička Mikuláš

serial: Sensors vol.14, 10 (2014), p. 19785-19805

project(s): GA14-02652S, GA ČR, 239294, EC FP7, European Reintegration Grant, GA14-10911S, GA ČR, GAP103/11/0335, GA ČR

keywords: measurement setup, material appearance, BTF, ABRDF, visual psychophysics

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abstract (eng):

A photo-realistic representation of material appearance can be achieved by means of bidirectional texture function (BTF) capturing a material’s appearance for varying illumination, viewing directions, and spatial pixel coordinates. BTF captures many non-local effects in material structure such as inter-reflections, occlusions, shadowing, or scattering. The acquisition of BTF data is usually time and resource-intensive due to the high dimensionality of BTF data. This results in expensive, complex measurement setups and/or excessively long measurement times. We propose an approximate BTF acquisition setup based on a simple, affordable mechanical gantry containing a consumer camera and two LED lights. It captures a very limited subset of material surface images by shooting several video sequences. A psychophysical study comparing captured and reconstructed data with the reference BTFs of seven tested materials revealed that results of our method show a promising visual quality.


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Institute of Information Theory and Automation