DocumentCode :
38542
Title :
Bi-Polynomial Modeling of Low-Frequency Reflectances
Author :
Boxin Shi ; Ping Tan ; Matsushita, Yuki ; Ikeuchi, Katsushi
Author_Institution :
Inst. of Ind. Sci., Univ. of Tokyo, Tokyo, Japan
Volume :
36
Issue :
6
fYear :
2014
fDate :
Jun-14
Firstpage :
1078
Lastpage :
1091
Abstract :
We present a bi-polynomial reflectance model that can precisely represent the low-frequency component of reflectance. Most existing reflectance models aim at accurately representing the complete reflectance domain for photo-realistic rendering purposes. In contrast, our bi-polynomial model is developed for the purpose of accurately solving inverse problems by effectively discarding the high-frequency component while retaining nonlinear variations in the low-frequency part. The bi-polynomial reflectance model is useful for estimating reflectance and shape of an object. Experimental evaluation in comparison with other parametric reflectance models demonstrates that the proposed model achieves better performance in reflectometry and photometric stereo applications.
Keywords :
inverse problems; polynomials; rendering (computer graphics); bi-polynomial modeling; bi-polynomial reflectance model; bidirectional reflectance distribution function; high-frequency component; inverse problems; low-frequency reflectances; nonlinear variations; object shape estimation; parametric reflectance models; photometric stereo applications; photorealistic rendering; reflectance estimation; reflectometry; Brain modeling; Computational modeling; Lighting; Materials; Mathematical model; Polynomials; Intensity; Low-frequency reflectance; Shape; and thresholding; color; parametric BRDF model; photometric stereo; photometry; radiometric image analysis; reflectometry;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/TPAMI.2013.196
Filename :
6620870
Link To Document :
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