Dissertation > Excellent graduate degree dissertation topics show

Research & Implementation of Face Detection Algorithm Based on Adaboost

Author: ZhaoDeXin
Tutor: HanTieMin
School: Northeastern University
Course: Computational Mathematics
Keywords: face detection color space Adaboost classifier
CLC: TP391.41
Type: Master's thesis
Year: 2009
Downloads: 63
Quote: 0
Read: Download Dissertation

Abstract


Face detection is a hot spot in computer vision and has attracted much attention because of its wide applications in many areas such as face recognition and human computer interaction. With the rapid development of intelligent computing technology, new methods and new technologies will continue to be used, which bring more vitality to the research, and detection result will be increasingly better and faster.This paper mainly research face detection algorithm based on Adaboost and the implementation. Firstly, in order to improve the Hit Rate and the detecting speed, this paper combines HSV space, YCrCb space and KL translation to locate the area on which the search window will search. Then this paper determines if the 5% center pixels of the search window are skincolor pixels and applies 3-rectangle and 4-rectangle filter to search window to determine if the search window is a possible facial area candidate. Then, this paper applies Adaboost classifier to the search window to determine if the search window is a candidate. Save the location of the search window if the search window is determined to be a facial area candidate. Besides, this paper also builds a face sample lab for further research. Finally, this paper probed into the advantages and disadvantages of the algorithms, and put forward suggestions to the future work.

Related Dissertations

  1. The Research of Color Image Watermarking Algorithm Against Geometric Attacks,TP309.7
  2. Research on Face Detection Based on Skin Color Segmentation and AdaBoost Algorithm,TP391.41
  3. Face Detection and Implementation on DSP,TP391.41
  4. Design and Realization of Embedded Face Detection and Tracking System,TP274
  5. The Reserch of Rapid Face Detection and Real-time Tracking Algorithms Based on Video Streaming,TP391.41
  6. The Study of Fatigue Detection of Drivers Based on the Infrared Conditions,TP391.41
  7. Research on Face Tracking Technologies Based on Movement Prediction,TP391.41
  8. The Study of Human Face Detection Method Based on OpenCV,TP391.41
  9. Research and Implementation of Monocular Vision-Based Vehicle Detection Algorithm,TP274
  10. Research on the Vision-Based Driver Fatigue Real-Time Detection,TP391.41
  11. Research and Implementation on Multi-angle Face Detection Technology Based on Continuous Adaboost Algorithm,TP391.41
  12. Abnormality with or graph based Face Detection technology,TP391.41
  13. Based on wavelet transform and linear subspace face recognition technology,TP391.41
  14. Color medical image segmentation technology research,TP391.41
  15. Video sequences based image stabilization and target tracking technology,TP391.41
  16. Model based on visual characteristics and image enhancement algorithms and performance analysis,TP391.41
  17. Video data of human action classification,TP391.41
  18. Feature points based virtual try positioning research,TP391.41
  19. Color Face Detection and Recognition,TP391.41
  20. Algorithm for automatic face beautification,TP391.41
  21. Based on image analysis of the human face than on the technology research,TP391.41

CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
© 2012 www.DissertationTopic.Net  Mobile