High Quality 3D Reconstruction from Multiple Images
- Title
- High Quality 3D Reconstruction from Multiple Images
- Alternative Title
- 다중 이미지를 이용한 고품질 3D 복원 방법
- Author(s)
- Kyumin Hwang
- DGIST Authors
- Kyumin Hwang ; Sunghoon Im ; Kyong Hwan Jin
- Advisor
- 임성훈
- Co-Advisor(s)
- Kyong Hwan Jin
- Issued Date
- 2022
- Awarded Date
- 2022/02
- Type
- Thesis
- Description
- Multi-view Stereo (MVS), Depth Estimation, Normal Estimation
- Table Of Contents
-
I. Introduction 1
II. Related Work 3
III. Proposed method 4
3.1 Initial Depth and Normal Estimation 4
3.2 Cost Volume Warping & Fusion 6
3.3 Geometric Consistency-based Refinement 7
IV. Experiments 9
4.1 Evaluation on Depth Estimation 12
4.2 Evaluation on Normal Estimation 14
V. Ablation Study 15
5.1 Ablation Study on Consistency Map Representation Method 15
5.2 Ablation Study on Multi-view Matching 16
5.3 Ablation Study on Multi-directional Plane Sweep Algorithm 16
5.4 Ablation Study on Novel View Synthesis Application 18
VI. Conclusion 24
VII. References 25
VIII. 요약문 29
- URI
-
http://dgist.dcollection.net/common/orgView/200000593272
http://hdl.handle.net/20.500.11750/16287
- Degree
- Master
- Department
- Information and Communication Engineering
- Publisher
- DGIST
- Related Researcher
-
-
Im, Sunghoon
- Research Interests Computer Vision; Deep Learning; Robot Vision
-
- Files in This Item:
-
There are no files associated with this item.
- Appears in Collections:
- Department of Electrical Engineering and Computer Science Theses Master
Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.