viola-jones

问题 Please explain to me, in few words, how the Viola-Jones face detection method works. 回答1: The Viola-Jones detector is a strong, binary classifier build of several weak detectors Each weak detector is an extremely simple binary classifier During the learning stage, a cascade of weak detectors is trained so as to gain the desired hit rate / miss rate (or precision / recall) using Adaboost To detect objects, the original image is partitioned in several rectangular patches, each of which is

问题 I've been implementing an adaptation of Viola-Jones' face detection algorithm. The technique relies upon placing a subframe of 24x24 pixels within an image, and subsequently placing rectangular features inside it in every position with every size possible. These features can consist of two, three or four rectangles. The following example is presented. They claim the exhaustive set is more than 180k (section 2): Given that the base resolution of the detector is 24x24, the exhaustive set of