NDLI: Multiple Intensity Differentiation-Based 3-D Surface Reconstruction With Photometric Stereo Compensation

Content Provider	IEEE Xplore Digital Library
Author	Um, D.
Copyright Year	2001
Abstract	In photometric stereo technique, multiple images are used to construct surface normal vectors and a 3-D shape is constructed thereafter. Although the lighting model is a rather simple Lambertian model in general, the quality of reconstructed 3-D shapes has been improved significantly. Recently, more general varying BRDF-based 3-D reconstruction, including specularity model is reported to be feasible. In this paper, we discuss a possible improvement in multiple intensity differentiation (MID)-based 3-D shape reconstruction using photometric stereo technique by minimizing shape distortion thus achieving better accuracy. The MID is less sensitive to albedo because of the use of reflectance ratio, but it still produces some degree of distortion due to the sharp surface angles. The main objective is to make the previous MID technique less sensitive to surface angles so that it produces a higher quality 3-D shape. Since photometric stereo does not provide depth values, we use the photometric stereo to compensate the previously obtained 3-D depth values by the MID technique. We review the image ratio method briefly followed by the discussion of surface normal calculation and experimental results.
Sponsorship	IEEE Sensors Council
Starting Page	1453
Ending Page	1458
Page Count	6
File Size	1038369
File Format	PDF
ISSN	1530437X
Volume Number	14
Issue Number	5
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Three-dimensional displays Shape Mathematical model Image reconstruction Equations Sensors Surface reconstruction shape-from-shading 3D depth sensor 3D shape reconstruciton photometic stereo
Content Type	Text
Resource Type	Article
Subject	Instrumentation Electrical and Electronic Engineering

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