Shape recovery from shading by a new neural-based reflectance model

Authors:
Siu-Yeung Cho;T. W.S. Chow
Affiliations:
Dept. of Electron. Eng., City Univ. of Hong Kong, Kowloon;-
Venue:
IEEE Transactions on Neural Networks
Year:
1999

Citing 0
Cited 3

Shape From Shading by Using Neural Based Colour Reflectance Model

Neural Processing Letters
A new color 3D SFS methodology using neural-based color reflectance models and iterative recursive method

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

Neural Computation

Quantified Score

Hi-index	0.00

Visualization

Abstract

We present a neural-based reflectance model of which the physical parameters of the reflectivity under different lighting conditions are interpreted by the network weights. The idea of our method is to optimize a proper reflectance model by an effective learning algorithm and to recover the object surface by a simple shape from shading recursive algorithm with this resulting model. Experiments, including synthetic and real images, were performed to demonstrate the performance of the proposed method for practical applications