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。
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.
出处
《计算机工程》
CAS
CSCD
北大核心
2001年第10期69-70,共2页
Computer Engineering
基金
湖南省自然科学基金资助项目(00JJY2082)
