"静态复杂背景中人脸快速定位的弦箭算法C语言实现"

毕业设计论文题目为“弦箭算法的 C 语言实现”，主要涉及静态复杂背景灰度图像的人脸快速精确定位问题。近年来，这一问题一直是亟需解决和完善的重要议题。王洪群等教师提出了一种椭圆弦箭算法，利用图像中的边缘曲线快速确定人脸位置区域，从而缩小人脸检测算法的搜索空间，提高检测算法的速度与效率。本文通过对椭圆特性的分析，阐明了弦箭算法的原理，并在 Microsoft Visual C 6.0 环境下利用 C 语言进行编程实现。该方法通过利用图像边缘信息，有效地解决了静态复杂背景下人脸定位的问题，具有实际应用价值。 关键词：人脸检测、边缘、弦箭算法。 Abstract: The graduation thesis is titled "C language Implementation of the Chord-Arrow Algorithm", which mainly involves the problem of quickly and accurately locating human faces in static, complex background grayscale images. This problem has been a difficult and important issue that needs to be solved and perfected in recent years. Professor Wang Hongqun and others proposed a novel ellipse chord-arrow algorithm, which uses the edge curves in the image to quickly determine the position of the face, thereby reducing the search space of the face detection algorithm and improving the speed and efficiency of the algorithm. This paper analyzes the characteristics of the ellipse and explains the principle of the chord-arrow algorithm, and implements it using the C language in the Microsoft Visual C 6.0 environment. The method effectively solves the problem of face location in static, complex backgrounds by utilizing edge information of the image, and has practical application value. Keywords: face detection, edge, chord-arrow algorithm.