请高手帮我翻译下面文字（中译英）

来源：百度知道 编辑：UC知道 时间：2024/06/14 00:14:07
人脸检测是人脸识别的首要环节，其处理的问题是确认图像（或影像）中是否存在人脸，如果存在则对人脸进行定位。人脸检测的应用领域相当广泛，是实现机器智能化的重要步骤之一。
AdaBoost 算法是1995 年提出的一种快速人脸检测算法，是人脸检测领域里程碑式的进步，这种算法根据弱学习的反馈，适应性地调整假设的错误率，使在效率不降低的情况下，检测正确率得到了很大的提高。
本论文使用Haar特征构建弱分类器，使用经典Adaboost方法训练了强分类器，系统讲述了Adaboost算法的理论知识，并在使用小规模典型数据上面试验比较了程序的效果，通过比较时间消耗，内存占用，降维比例，识别错误率等等， 基本实现了分类器的功能。

An examination of person is an initial link for identify, the problem that it handle is to confirm the picture( or image) to win whether exist person's face, if the existence then carries on the fixed position to person's face.The applied realm of an examination of person is very extensive, is one of the important steps that carries out the machine intelligence to turn.
The calculate way of AdaBoost is an examination of a kind of fast person calculate way put forward in 1995, is the progress of an examination of person realm milestone type, this kind of calculate way according to the feedback of the weak study, the adaptability ground adjusted the supposed mistake rate, make under the condition that efficiency does not lower, examined the correctness to get the very big exaltation.
The This thesis the usage Haar the characteristic sets the up the the weak classification machine, the the usage the classic Adaboost the method trained the the strong the classificat