Dissertation > Excellent graduate degree dissertation topics show

Research on the Theory and Algorithms of 3D Reconstruction from Multiple Images

Author: DaiJiaJing
Tutor: YangJie
School: Shanghai Jiaotong University
Course: Pattern Recognition and Intelligent Systems
Keywords: 3D Reconstruction Point Cloud Registration Mesh Reconstruction Texture Mapping
CLC: TP391.41
Type: Master's thesis
Year: 2012
Downloads: 596
Quote: 1
Read: Download Dissertation

Abstract


Reconstructing 3D models from 2D images has been a hot research topic in the field of computer vision. It is a comprehensive and cross research area and has a very wide application prospects in the fields of aerial mapping, visual navigation, medical diagnosis, electronic commerce and virtual reality, etc. This paper provides a deep research on the theory and algorithms of 3D reconstruction from multiple images and a corresponding reconstruction software system is developed based on these knowledge.Some basic concepts in 3D reconstruction, such as camera model, coordinate system transformation, epipolar geometry, camera calibration, are first introduced. Then a feasible solution of the 3D reconstruction from multiple images is proposed and a detailed analysis of each step is presented. The Structure from Motion(SFM) method based on SIFT feature detection and bundle adjustment is introduced in the sparse point cloud reconstruction step. The Patched-based Multi-View Stereo(PMVS) algorithm is introduced in the following dense point cloud reconstruction step. For the possible point clouds registration issue, the classic Iterative Closest Point(ICP) registration algorithm is introduced and a novel two-stage registration algorithm based on the local invariant feature is presented. An incremental surface reconstruction algorithm based on the breadth-first-search is proposed for the point cloud meshing step. An automatic texture mapping method is presented for the last texture mapping step. Finally, the modular architecture and implementation of our software system is introduced and experimental results demonstrates that satisfactory 3D models can be reconstructed, which verifying the feasibility and efficiency of the algorithms mentioned in this paper.

Related Dissertations

  1. 3D Visualization Research of Medicial Ultrasound Image,TP391.41
  2. Based on Java 3D Acupuncture and Moxibustion Copper Person Face Simulation,TP391.41
  3. The Application and Implement of Non-photorealistic Rending,TP391.41
  4. The Ship Detection Based on Optical Remote Sensing Images,TP751
  5. Research on Real-time Rendering Simulation Technology for Flame and Fireworks Based on Particle System,TP391.9
  6. Design and Achievement of Mesh Simplification and Optimization Algorithm of Spatial Quadrilateral,TP391.41
  7. The Method of Multi-Camera Calibration Combining Rectification Error,TP391.41
  8. Research on Point Cloud Matching Method Based on Dual Quaternion Algorithm,TP391.41
  9. Research on STEP-based Manufacturing Feature Recognition and 3D Reconstruction Technology,TP391.7
  10. Research and Application of Safe Polyhedral Visual Hulls,TP391.41
  11. Texture generation mapping technology research and application,TP391.41
  12. 3D graphics based on the security icon generation technology,TP391.41
  13. Researching and Realizing Displaying Platform for 3D Simulation of Road Traffic Accident,U491.3
  14. Research and Implementation of 3D Rendering Technology Under Embedded Linux Environment,TP391.41
  15. Research on Point Cloud Registration Based on Feature,TP391.72
  16. 3D City Modeling and Visualization,P901
  17. Camera Sync and particle trajectories to obtain three-dimensional,TP391.41
  18. White Phosphorus Smoke Produced by Combustion Simulation,TP391.41
  19. Research and Implementation of Map Symbols Visualization in 3D GIS Based on Texture Mapping,TP391.41
  20. Research of Camera Calibration Based on Corrected Template and 3D Reconstruction,TP391.41
  21. Research on 3D Reconstruction Based on Binocular Vision,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