Dissertation > Excellent graduate degree dissertation topics show

Research on Optical Flow Computation of Color Image Sequences

Author: WeiJinRu
Tutor: XuanShiBin
School: Guangxi University for Nationalities
Course: Applied Computer Technology
Keywords: motion vision analysis optical flow field computer vision colorimages sequence GDIM rgb
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 59
Quote: 0
Read: Download Dissertation

Abstract


Motion vision analysis is an important research area of computer vision. It hastwo main methods: feature-based and optical flow-based. Therefore the opticalflow computation is a key technique for motion vision analysis, it has emerged as amajor technique to estimate object’s motion in image sequences. Optical flowanalysis researches on the relationship of image brightness varying in time and theobject’s structure and motion in the background. Many important information ofmotion and structure of object are included in optical flow, and optical flow canhelp us to know about many important motion and structure characteristics ofmotion bodies. This thesis uses GDIM mold to estimate optical flow for colorimage sequences, and the research on optical flow mainly based on two points: thelimitations of brightness conservation assumption and the under-determinedproblem of the optical flow fundamental equation. First, the optical flow techniqueusual used is based on the assumption that the image brightness remainsunchanged under the image motion. According to this assumption then the opticalflow fundamental equation is received. When additional constraints are added, theoptical flow is obtained. But in non-uniform brightness variation environment, theoptical flow fundamental equation which is base on brightness conservationassumption is unsuited, and the result computed from these methods is unreliable.We solve this problem by using generalized dynamic image model (GDIM). GDIMrevises the optical flow fundamental equation, it includes radiometric informationin the optical flow computation, and works better under non-uniform brightnessvariation. Second, the optical flow fundamental equation which is based on thebrightness conservation assumption only has one equation, and the optical flowcould not uniquely determined if there is no additional constraint added. In colorimages, there is abundant color information, according to the three-basic-colorprinciple and optical flow fundamental equation, we can obtain three optical flow constraint equations corresponding to three-color components. This gives us anover-determined linear system with three equations and two unknowns, and theoptical flow of color images that what we find is the solution of the linearequations’ system.For the optical flow from color images sequence, the color systemsnormalized rgb are used, and the optical flow field of color image sequences iscomputed by using GDIM mold. This thesis targets motion image sequences thatusually used. Comparisons between the experimental results of this method and thetraditional method are presented. The results demonstrate the better performance ofvelocity and simpler computation and more motion pattern suited. For theincreasing of the accuracy and reliability of optical flow computation, the result ofthis research has certain significance.

Related Dissertations

  1. Research on Learning-Based Low-Level Vision Problem,TP391.41
  2. Research on Nondestructive Detection Technology for External Qualities of Papayas Based-on Vision,S667.9
  3. Nonlinear color image watermarking detection program of study,TP309.7
  4. DM642-based infrared moving target detection and tracking technology,TP391.41
  5. PDE-based image registration and fusion method,TP391.41
  6. The orchard AGV visual navigation study,TP391.41
  7. Rearch on Optical Flow Algorithm and the Application in Video Object Detection,TP391.41
  8. The Steel Ball’s Surface Defect Detection Based on Machine Vision,TP391.41
  9. WORD document based on digital watermarking algorithm research and implementation,TP309.7
  10. Bionic vision based UAV formation flying technology research,V249.1
  11. Research on Long Distance Coordinates Measurement of Monocular Vision Based on Virtual Beelines,TH721
  12. RGB Chlorophyll Instrument’s Optimized and Its Measuring Model Regressed,TH79
  13. Real-time tracking system for moving objects,TP391.41
  14. Sand-dust Storm Monitoring and Analysis of Changchun Region,P445.4
  15. Computer vision - based fabric defect automatic detection technology,TP391.41
  16. Computer-based technology, color space conversion model and color fastness analysis system established,TP391.41
  17. The Application of Geographic Information System on Air Traffic Control System,TP315
  18. Research on Super-resolution Reconstruction of Video Sequences,TP391.41
  19. Some Topics on Robot Kinematic Calibration,TP242
  20. Augmented Reality environment vision-based high - precision target tracking technology,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