JOURNAL ARTICLE

Shape reconstruction using extended photometric stereo

Abstract

The main interest of previous researches for shape from shading was only on Lambertian surfaces which consists of diffuse reflectance surfaces. In practice, natural objects have hybrid reflectance, which limits the recovery of shape from intensity distribution. We propose a method of determining the shape using a neural network and diffuse illumination. The segmented region of the sphere surface is used for the training set, which can be determined by the shadow line and the surface edge. Diffuse illumination is used to avoid specular spikes and highlights which usually cause many problems such as intensity disparities. The diffuse illumination method using flat paper allows us to reduce these phenomena with a simple scheme. The neural network and diffuse illumination method is useful for shape from shading, because it can be applied to objects of unknown reflectance properties, but it is applied only to Torrance-Sparrow (1967) style reflectance.

Keywords:
Photometric stereo Specular reflection Shadow (psychology) Artificial intelligence Computer science Diffuse reflection Computer vision Optics Bidirectional reflectance distribution function Normal Shading Artificial neural network Surface (topology) Reflectivity Computer graphics (images) Mathematics Geometry Image (mathematics) Physics

Metrics

2
Cited By
0.65
FWCI (Field Weighted Citation Impact)
7
Refs
0.73
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Computer Graphics and Visualization Techniques
Physical Sciences →  Computer Science →  Computer Graphics and Computer-Aided Design
3D Shape Modeling and Analysis
Physical Sciences →  Engineering →  Computational Mechanics
3D Surveying and Cultural Heritage
Physical Sciences →  Earth and Planetary Sciences →  Geology

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