微型机与应用2012，Vol.31Issue(14)：40-43,4.
基于DM6437的Adaboost人脸检测算法的设计与实现
Design and implementation of Adaboost face detection algorithm based on DM6437
倪福银1
作者信息
- 1. 江苏技术师范学院电气信息工程学院,江苏常州213001
- 折叠
摘要
Abstract
The paper studies realizes the Adaboost face detection algorithm based on DM6437. After studying the relevant algo- rithms, the paper chooses Adaboost face detection algorithm which is adaptable and has small error rate. Firstly ,it extracts the Hart features of input samples and chooses optimal Harr features through training, and changes it into weak classifier. Then, it makes weak classifier optimized into strong classifier. Finally it forms cascade classifier which is used in face detection. It simulates Ad- aboost face detection algorithm through OpenCV on the computer. The paper completes the program design of DSP and realizes the function of real-time face detection in DM6437 hardware platform. Results show that this algorithm can be used to realize face de- tection efficiendy, and can be used in engineering practice.关键词
人脸检测/DM6437/Adaboost/OpenCVKey words
face detection/DM6437/Adaboost/OpenCV分类
信息技术与安全科学引用本文复制引用
倪福银..基于DM6437的Adaboost人脸检测算法的设计与实现[J].微型机与应用,2012,31(14):40-43,4.
