一种机器视觉的物体检测算法，是一种先进物体检测算法，全英文描述.讲述一种机器视觉的物体检测算法的实现-his paper describes a visual object detection framework that is capable of processing images extremely

rapidly while achieving high detection rates. There are three key contributions. The fi rst is the introduction

of a new image representation called the “Integral Image” which allows the features used by our detector

to be computed very quickly. The second is a learning algorithm, based on AdaBoost, which selects a small

number of critical visual features and yields extremely effi cient classifi ers [6]. The third contribution is a

method for combining classifi ers in a “cascade” which allows background regions of the image to be quickly

discarded while spending more computation on promising object-like regions. A set of experiments in the

domain of face detection are presented. The system yields face detection performace comparable to the best

previous systems [18, 13, 16, 12, 1]. Implemented on a conventional desktop, face detection proceeds at 15

frames