基于SURF算法和OpenCV的人脸特征检测技术研究  

Research on Face Features Detecting Technique Based on SURF Algorithm and OpenCV

作　　者：时磊[1] 谢晓方[1] 乔勇军[1] 

机构地区：[1]海军航空工程学院兵器科学与技术系,烟台264001

出　　处：《计算机与数字工程》2010年第2期124-126,共3页Computer & Digital Engineering

摘　　要：人脸检测和人脸跟踪[1]技术已成为计算机视觉领域研究的热点。针对SURF算法的优点,首先将SURF算法应用于人脸特征检测与跟踪,阐述了人脸跟踪系统设计方法,首先使用OpenCV技术实现了基于SURF算法的人脸特征跟踪系统。实验结果表明,基于SURF算法和OpenCV技术的人脸跟踪系统匹配识别效果和实时性较好,对人脸旋转、尺寸变化和环境光照变化具有较好鲁棒性[2]。Face detecting and tracking technique has become popular in computer vision field. Because SURF algorithm have many good features, so the expirement make an application of SURF algorithm to face detecting and face tracking. E- laborated to the design method of face tracking system, and make use of OpenCV technique carried out the experimental system of face tracking based on SURF algorithm first. Experiment result express that the face tracking system based on SURF algorithm and OpenCV technique effective in matching, identifying, real time and robust feature.

关 键 词：快速鲁棒特征 OPENCV 人脸检测 人脸跟踪 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]