NDLI: Efficient photometric stereo technique for three-dimensional surfaces with unknown BRDF

Content Provider	IEEE Xplore Digital Library
Author	Li Shen Machida, T. Takemura, H.
Copyright Year	2005
Description	Author affiliation: Graduate Sch. of Inf. Sci. & Technol., Osaka Univ., Japan (Li Shen; Machida, T.; Takemura, H.)
Abstract	The present paper focuses on efficient inverse rendering using a photometric stereo technique for realistic surfaces. The technique primarily assumes the Lambertian reflection model only. For non-Lambertian surfaces, application of the technique to real surfaces in order to estimate 3D shape and spatially varying reflectance from sparse images remains difficult. In the present paper, we propose a new photometric stereo technique by which to efficiently recover a full surface model, starting from a small set of photographs. The proposed technique allows diffuse albedo to vary arbitrarily over surfaces while non-diffuse characteristics remain constant for a material. Specifically, the basic approach is to first recover the specular reflectance parameters of the surfaces by a novel optimization procedure. These parameters are then used to estimate the diffuse reflectance and surface normal for each point. As a result, a lighting-independent model of the geometry and reflectance properties of the surface is established using the proposed method, which can be used to re-render the images under novel lighting via traditional rendering methods.
Starting Page	326
Ending Page	333
File Size	444414
Page Count	8
File Format	PDF
ISBN	0769523277
ISSN	15506185
DOI	10.1109/3DIM.2005.35
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-06-13
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Photometry Reflectivity Rendering (computer graphics) Shape Solid modeling Surface fitting Information science Paper technology Optical reflection Geometry chromaticity analysis photometric properties inverse rendering Photometric Stereo
Content Type	Text
Resource Type	Article

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