Dissertation > Excellent graduate degree dissertation topics show

Image Matching Algorithm Based on SIFT in the Vehicle Navigation

Author: HuJun
Tutor: XieJianBin
School: National University of Defense Science and Technology
Course: Electronic Science and Technology
Keywords: Vehicle Navigation Image Matching SIFT Gaussian Filter RANSAC Feature Clustering
CLC: TP391.41
Type: Master's thesis
Year: 2010
Downloads: 180
Quote: 2
Read: Download Dissertation

Abstract


The aided inertial navigation based on Image matching is one direction of the combined navigation. SIFT algorithm is one of the most excellent algorithms in the realm of computer vision. This paper mainly studies how to apply the SIFT algorithm to the vehicle navigation effectively to locate targets accurately and stably.As the feature detection in SIFT is not effective enough to meet the demand of vehicle navigation, this paper proposes a fast detecting method based on improved Gaussian filter. Firstly, the Gaussian filter is decomposed to a series of weighted box filters; then fast weighted box filters are implemented based on integrate image, and the results are combined to realize Gaussian filter; at the end, the build of the scales-space can also be enhanced, which makes the feature detection can be parallel implemented. As the experiments show, the proposed method not only keeps the precision of the traditional SIFT, but also improves the efficiency about 30%.In order to overcome the unstable problem in the SIFT feature clustering to make the vehicle navigation more stable, we proposes an algorithm based on improved RANSAC. The algorithm first substitutes exhausted search for random sample in classical RANSAC; then combines the stable matching pairs and discards the unstable ones to cluster the correct matching pairs. As the experiments show, compared with the classical RANSAC, the performance of the improved RANSAC is more stable.

Related Dissertations

  1. A Study on the Technology of the Infrared Image Matching,TP391.41
  2. Research on Image Matching Based on Graph Cut,TP391.41
  3. The Research of Image Matching Method Based on Feature Descriptor,TP391.41
  4. Research on Subimage Selection and Mathching Method for Synthetic Aperture Radar(SAR) Target Recognition,TN957.52
  5. Design and Implementation of High Performance Image Correlator Based on SOPC,TP391.41
  6. The Research of Phishing Detection Technology Based on Nearest Neighbor and Similarity Measurement,TP393.08
  7. SAR image can be matched study,TN957.52
  8. GPU-based SIFT algorithm,TP391.41
  9. SIFT-based digital watermarking algorithm,TP309.7
  10. Technological Research on Path Planning in Vehicle Navigation System,TP301.6
  11. Multi- dimensional image based aviation city buildings Recognition Technology,TP391.41
  12. BoW-SIFT -based model and the level of the three-dimensional mesh feature retrieval system,TP391.41
  13. Based on the geometry of multiple images and textures automatically rebuild,TP391.41
  14. Helmet based on image processing spatial position measurement,TP391.41
  15. SURF algorithm based on improved electronic image stabilization technology,TP391.41
  16. Saliency -based image retrieval keying Research and Implementation,TP391.41
  17. SVM Based on SIFT and scene classification,TP391.41
  18. Image registration based on the rotation angle calculation methods sand,TP391.41
  19. Exam cheating Intelligent Analysis Method,TP391.41
  20. Research notes image classification,TP391.41
  21. The Research of Image Matching Technology Based on Feature Detection,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