Enhanced 3D Shape Recovery Using the Neural-Based Hybrid Reflectance Model

DOI10.1162/089976601753196058zbMath0993.68114OpenAlexW2107938741WikidataQ52128248 ScholiaQ52128248MaRDI QIDQ2784825

Siu-yeung Cho, Tommy W. S. Chow

Publication date: 29 September 2002

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1162/089976601753196058

zbMATH Keywords

shape from shading

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Pattern recognition, speech recognition (68T10) Machine vision and scene understanding (68T45)

Related Items (1)

Multiple-view shape extraction from shading as local regression by analytic NN scheme

Cites Work

• Training multilayer neural networks using fast global learning algorithm -- least-squares and penalized optimization methods
• Multilayer feedforward networks are universal approximators
• The variational approach to shape from shading

This page was built for publication: Enhanced 3D Shape Recovery Using the Neural-Based Hybrid Reflectance Model