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基于SURF算法和OpenCV的人脸特征检测技术研究 被引量:13

Research on Face Features Detecting Technique Based on SURF Algorithm and OpenCV
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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.
出处 《计算机与数字工程》 2010年第2期124-126,共3页 Computer & Digital Engineering
关键词 快速鲁棒特征 OPENCV 人脸检测 人脸跟踪 SURF, OpenCV, face detecting, face traeking
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  • 1牛力丕,毛士艺,陈炜.基于Hausdorff距离的图像配准研究[J].电子与信息学报,2007,29(1):35-38. 被引量:21
  • 2王向军,王研,李智.基于特征角点的目标跟踪和快速识别算法研究[J].光学学报,2007,27(2):360-364. 被引量:48
  • 3李寒,牛纪桢,郭禾.基于特征点的全自动无缝图像拼接方法[J].计算机工程与设计,2007,28(9):2083-2085. 被引量:52
  • 4ZITOVA B, FLUSSER J. Image registration methods:a survey [J].Image and Vision Computing ,2003,21:977-1000.
  • 5HARRIS C G, STEPHENS M J. A combined comer and edge detector [C]//Processings Fourth Alvey Vision Conference, Manchester, 1988:147-151.
  • 6SMITH S M, BRADY J M. SUSAN-a new approach to low level image processing[J]. International Journal of Computer Vision, 1997,23(1): 45-78.
  • 7LOWE D G.Object recognition from local scale-invariant features [C]// International Conferenceon Computer Vision, Corfu, Greece Sept, 1999 : 1150-1157.
  • 8MIKOLAJCZYK K, SCHMID C. Scale & affine invariant interest point detectors[J].International Journal of Computer Vision, 2004,60(1):63-86.
  • 9LOWED G. Distinctive image features from scale-invariant keypoints [J]. International Journal of Computer Vision, 2004.60(2), 91-110.
  • 10BICEGO M , LAGORIO A, GROSSO E,et al. On the use of SIFT features for face authentication [C]//2006 IEEE Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop,2006:1-7.

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