Dissertation > Excellent graduate degree dissertation topics show

Research on Technology of the Optimum Face Image Acquisition with Multi-camera Cooperation

Author: ZhuTongHui
Tutor: ZhangZuo
School: Harbin Engineering University
Course: Applied Computer Technology
Keywords: face image acquisition multi-cameras cooperation pose estimation face imagequality evaluation
CLC: TP391.41
Type: Master's thesis
Year: 2013
Downloads: 11
Quote: 0
Read: Download Dissertation

Abstract


The image quality of personal face is the fundamental factor that affects face perceptionsystem performance, however the traditional single camera collection technology can’tguarantee the quality of the face image, and then directly reduces the value of faceinformation in the practical application. Therefore, the research on the best face imageacquisition technology not only has important theoretical significance, but also has importantpractical value.This article presents a thorough study of multi-camera cooperative collection and faceimage quality evaluation techniques, and constructs a complete and practical optimum faceacquisition system with multi-camera. Specific content as follows:First, I research the technology of face pose estimation deeply. In order to enhance theaccuracy of pose estimation, I improve the pose estimation algorithm through evaluation otherangle that has corresponding relationship with face rotation.Secondly, I put forward the multi-camera collaborative acquisition algorithm. Inalgorithm, I set multiple cameras to collect the same area synchronously. In order to selectoptimal view, I compare the color skin share of image that each camera gathered at the sametime. All of the best perspective face images need to get through the pose estimation, thenpick out a set of frontal face images.Finally, I in-depth study the technology of objective face image quality evaluation. Inorder to enhance the coherence of subjective and objective evaluation algorithms, andincrease the accuracy of evaluation result for face recognition, I put forward the method ofimproved image quality evaluation algorithm. I increase face similarity as an indicator ofimage quality and adopt a from coarse to fine evaluation framework.

Related Dissertations

  1. Fusion depth map and 3D models of human motion capture technology research,TP391.41
  2. Based on the visual system of unmanned autonomous helicopter landing,V279
  3. Visual landing guidance UAV pose estimation problem in the study,V249.32
  4. Real-Time Face Pose Estimation in Video Sequence,TP391.41
  5. Research on Mobile Robot of Pose Estimation in Structure Environment,TP242
  6. Accurate and Real-Time Face Recognition Based on Near-Infrared Image,TP391.41
  7. Vision-based Human Pose Estimation in Smart Classroom,TP391.41
  8. Study on Camera Pose Determination,TP391.41
  9. Infrared surgical navigation precision positioning theory and methods,TH772
  10. Researchs on Measurement Error Corrction of Vehicle Photoelectric Theodolite Working on the Quasi-Moving Base,TH761.1
  11. Face Pose Estimation and Tracking in Color Image Sequence,TP391.41
  12. Research on Face Pose Estimation,TP391.41
  13. Real-Time Visual Localization with a Single Camera,TP242.62
  14. Research on Marker-less Human Body Motion Capture and Pose Estimation,TP391.41
  15. Study on Spaceborne Radar Altimeter Error Analysis and Calibration Technology,TH761.3
  16. Object recognition method in machine vision Research and Discussion,TP391.41
  17. Research on Human Pose Estimation with Monocular Videos for HCI Applications,TP391.41
  18. Research and Implementation of Model-Based3D Pose Tracking,TP391.41
  19. Accurate Fast Localization Method and Research on Human Pose Analysis,TP391.41
  20. The Research and Improvement Based on the Active Appearance Model,TP391.41
  21. Pose Estimation Based on Pose Cluster and Candidates Recombination,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