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Content Provider | IEEE Xplore Digital Library |
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Author | Lin, S. Lee, S.W. |
Copyright Year | 2000 |
Description | Author affiliation: Michigan Univ., Ann Arbor, MI, USA (Lin, S.) |
Abstract | Variability in object appearance due to illumination conditions has typically been modelled for only diffuse reflection. In this paper we present a method for determining multiple reflection components for a set of photometric images, and describe a linear representation of these reflection elements for enumerating the possible illumination appearances of an object. The proposed approach involves a simultaneous estimation of reflectance parameters that can be generalized to yield a separation for an arbitrary number of reflection components. We show that the separated components of photometric images can be combined to form their counterparts in images with different illumination. Results are presented to illustrate the performance of this method for uncalibrated lighting directions. |
Starting Page | 105 |
Ending Page | 110 |
File Size | 191713 |
Page Count | 6 |
File Format | |
ISBN | 0769506623 |
ISSN | 10636919 |
DOI | 10.1109/CVPR.2000.855806 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2000-06-15 |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Optical reflection Lighting Reflectivity Photometry Parameter estimation Yield estimation Shape Electrical capacitance tomography Costs Face recognition |
Content Type | Text |
Resource Type | Article |
Subject | Computer Vision and Pattern Recognition Software |
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