Algorithm evolution for face recognition: what makes a picture difficult
Algorithm evolution for face recognition: what makes a picture difficult
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人脸识别的算法演变：是什么让图片变得困难
DOI：
10.1109/icec.1995.487453
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发表时间：
1995
期刊：
影响因子：
--
通讯作者：
Manuela Veloso
中科院分区：
文献类型：
--
作者：
Astro Teller;Manuela Veloso
人脸识别问题是计算机视觉中的经典问题之一。一般来说，这个问题可以采取各种各样的形式，但最常见的人脸识别问题是“这是谁的照片？”过去，进化计算通过学习神经网络等技术间接地应用于这个问题。本文介绍了一种遗传编程风格的学习算法，该算法直接研究人脸图像，并协调到人脸识别系统中。通过一系列的实验，证明了进化算法能够完成人脸识别任务。我们还强调了围绕人脸识别的几个陷阱和误解，认为这是一个学习问题。
One of the classic problems in computer vision is the face recognition problem. In general, this problem can take on a wide variety of forms, but the most common face recognition problem is "Who is this a picture of?" Evolutionary computation has, in the past, been applied indirectly to this problem through techniques like learning neural networks. This paper introduces a genetic programming style approach to learning algorithms that directly investigate face images and are coordinated into a face recognition system. Through a series of experiments, we show that evolved algorithms can accomplish the face recognition task. We also highlight several pitfalls and misconceptions surrounding face recognition as a learning problem.