节点文献
基于改进的神经元网络的图像恢复与重建新算法
A NEW ALGORITHM FOR IMAGE RESTORATION AND RECONSTRUCTION BY THE IMPROVED NEURAL NETWORK
【摘要】 本文简单介绍了最早的图像恢复的神经网络方法,Lambertian反射模型虽可用于图像的恢复与重建,但它有很大的局限性。为此,本文给出了一种基于改进的神经元网络的新型反射模型,用于三维图像的恢复与重建,此新法不需知道光源方向,经实验证明,具有计算快捷且图像识别精度高的特点。
【Abstract】 The paper introduces the earliest the image restoration based on the neural network. The limitation of the conventional reflectance model by Lambertian is also 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 improved neural - based reflectance model. An example is also given to prove that the SFS technique is robust for most objects, even when they are uncertain of h’ghting conditions.
【Key words】 Neural network Three - dimensional reconstruction Image restoration Reflectance model;
- 【文献出处】 计算机应用与软件 ,Computer Applications and Software , 编辑部邮箱 ,2001年10期
- 【分类号】TP183;TP391.41
- 【被引频次】1
- 【下载频次】109