摘要： 简介了兰伯特Lambertian反射模型用于三维图象的恢复与重建的算法,由于其具有很大的局限性,为此,给出了一种基于神经网络与模糊处理相结合的新型反射模型,用于三维图象的恢复与重建,且新算法不需知道光源方向,经实验证明,具有计算快捷且图象识别精度高的特点。

关键词: 模糊神经网络, 三维图象重建, 图象恢复

Abstract: In this paper, the limitation of the conventional Lambertian reflectance model is addressed and a new neural-based reflectance model is proposed. The new neural learning algorithm is to optimize a proper reflectance model and to recover the object surface by a simple shape-form-shading(SFS) variational method with this neural-based model and fuzzy method model. An example is also given to prove that the SFS technique is robust for most objects, even when the lighting conditions are uncertain.

中图分类号: 

• TP391.4