Dissertation > Excellent graduate degree dissertation topics show

Image Feature Extraction for Face Recognition

Author: ZouJianFa
Tutor: WangGuoZuo
School: Chongqing University of Posts and Telecommunications
Course: Applied Computer Technology
Keywords: Face Recognition Feature selection Regression analysis Gabor feature Principal Component Analysis Linear discriminant analysis
CLC: TP391.41
Type: Master's thesis
Year: 2009
Downloads: 135
Quote: 0
Read: Download Dissertation

Abstract


The face recognition technology is the use of computer analysis of face images to extract the effective identification information identifying or discriminating a pending state technology . It combines artificial intelligence , computer image processing , pattern recognition , psychology and other research fields , and is one of the hot spots in current research in artificial intelligence and pattern recognition . In the field of face recognition technology , what features to represent the face pattern , as well as how to effectively extract such features , often determines the good and bad effects of face recognition . In this paper, the image features Face Recognition , focus on how to extract and select features to face mode to carry out research work : First , principal component analysis (PCA) face recognition algorithm in feature selection exists proposed face recognition algorithm based on dynamic principal component molecular space . This method starting from the point of view of the image reconstruction using the theory of multiple linear regression analysis , the role of the principal component analysis , further screening has trained primaries feature sub space , thus removing the principal component of the characteristics of those interference identification results , select more conducive to the image to be identifying the characteristics of the main ingredients . The experimental results show that the algorithm than traditional based on the static main into the molecular space algorithm to identify the effect of significantly improved . Secondly , Gabor feature from a different direction and scale well represents local features of face images , but the traditional method using Gabor features but ignore the hominid face picture contains a wealth of global characteristics . Gabor features and the original image information is combined to form Gabor feature enhancements , and a combination of direct stepwise linear discriminant analysis algorithm (DF_LDA) , proposed a new face recognition method . Experimental results show that the algorithm has high recognition rate , steady performance . Finally , according to the needs of the research work , designed and implemented a face recognition system . The system implements several major face recognition method , and visualize the data extracted features demo . Meanwhile, in this system was added a strong interaction automatic face recognition module , the module to real-time video sequence from the camera acquisition , feature extraction , to achieve real-time face identification .

Related Dissertations

  1. Research on Algorithms of 2D Face Template Protection,TP391.41
  2. Research on Feature Selection and Construction in Emotion Speech Recognition,TP18
  3. Research of Video Face Recognition Based on Weighted Voting and Key-Frame Extraction,TP391.41
  4. Face Recognition Method Based on DE,TP391.41
  5. Based on local binary pattern and Weber local descriptor Face Recognition,TP391.41
  6. Expression of face recognition algorithm based on sparse research,TP391.41
  7. Under the conditions of variable lighting and occlusion of face recognition technology and its application,TP391.41
  8. Research on the Fault Diagnosis Technology of Reciprocating Compressors,TH45
  9. Study on Risk Factors of Gastroesophageal Reflux Disease,R571
  10. Study on Chinese Text Classification Combined with Ontology,TP391.1
  11. Text- based English blog space analysis of emotion,TP391.1
  12. Research on Face Recognition Based on Improved Maximum Margin Criterion,TP391.41
  13. Identified and articulated object detection applications,TP391.41
  14. Research on Speaker Recognition System under the Visual C++ 6.0,TN912.34
  15. Research on Subspace Analysis Based Face Recognition Algorithm,TP391.41
  16. Research on Network Traffic Classification Based on Decision Tree,TP393.06
  17. Attribute Reduction Based on Rough Set and Weighted SVM intrusion detection method,TP393.08
  18. Front-line police Burnout and Personality Traits Correlation,C912.6
  19. Yunnan urban-rural income gap and fiscal policies Empirical Study,F812.0;F224
  20. Peasant Workers Training Wishes and the Affecting Factors Analysis Based on the Investigation of Fuzhou,F224
  21. Research on Over-investment Behavior and Corporate Governance Mechanism,F224

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