Dissertation > Excellent graduate degree dissertation topics show

Study on Face Detection Based on AdaBoost Algorithm

Author: CuiHao
Tutor: HaoXiaoLi
School: Beijing Jiaotong University
Course: Circuits and Systems
Keywords: Face detection Skin-color segmentation Haar-like features AdaBoost algorithm
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 172
Quote: 0
Read: Download Dissertation

Abstract


ABSTRACT:As an important visual pattern, human face reflects the visual information which plays an important role in human communication and interaction. Human face detection is a key technology in face information processing and its application field is far beyond the face recognition system. Face detection has been increasingly a major concern by the researchers because of its huge value in video supervision, access control, video conference and human-computer interaction, etc. As a key part in face recognition, face detection research also shows the academic value of itself, at the same time, variety of face detection algorithm comes to appearance as the research methods and tools are coming to maturity increasingly.The article studies the face detection method based on skin-color and AdaBoost algorithm, which includes the following aspects:First, studying the face detection algorithm based on skin-color. By comparing the common color space and color models, we choose the YCbCr color space with better clustering performance and Gaussian model which is easy to carry out to describe the facial skin. We have achieved good color segmentation result by researching image processing techniques to satisfy the need of color segmentation, image binary based on the threshold segmentation, mathematical morphology processing method and further removing non-facial area method using of color size and aspect ratio.Second, studying the face detection algorithm based on AdaBoost. We discuss the 3 parts which are made up of Haar-like features, integral image and cascade classifier based on AdaBoost algorithm. Aiming at the weak ability problem on single Haar-like feature classification, we preliminary study the combination Haar-like features. For the large number of Haar-like features and long-term training, we use the optimization method of the characteristic value of the quantitative to shorten the training time.Finally, realizing the face detection method based on skin color segmentation and AdaBoost algorithm. Input the image as the cascade after the color segmentation to increase the detection speed and detection rate.The article summarizes the paper at last and looks into the further work.

Related Dissertations

  1. The Fatigue State Recognition of the Driver Based on Eye Detection,TP391.41
  2. Research on Predicting Intrinsic Disorder Protein Structure Based on Supervision Manifold Learning Algorithm,Q51
  3. Research on Face Detection Based on Skin Color Segmentation and AdaBoost Algorithm,TP391.41
  4. Research on Face Recognition Based on AdaBoost Algorithm,TP391.41
  5. The Study of Human Face Detection Method Based on OpenCV,TP391.41
  6. Research on the Vision-Based Driver Fatigue Real-Time Detection,TP391.41
  7. Face Detection in Color Image and Facial Feature Location,TP391.41
  8. Research and Implementation on Multi-angle Face Detection Technology Based on Continuous Adaboost Algorithm,TP391.41
  9. Research of Facial Expression Recognition Algorithm,TP391.41
  10. Abnormality with or graph based Face Detection technology,TP391.41
  11. Feature points based virtual try positioning research,TP391.41
  12. Color Face Detection and Recognition,TP391.41
  13. Algorithm for automatic face beautification,TP391.41
  14. Based on image analysis of the human face than on the technology research,TP391.41
  15. ARM9-based embedded image processing platform for the design and application,TP391.41
  16. Natural classroom face recognition system based on video streaming Research and Implementation,TP391.41
  17. Face Detection,TP391.41
  18. Study on Human Face Detection and Tracking Algorithm Based on Skin Color,TP391.41
  19. And Cascade algorithm based on AdaBoost face detection,TP391.41
  20. Research on Driver Fatigue Detection Based on Multi-feature Integration,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