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High Quality 3D Reconstruction from Multiple Images
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Title
High Quality 3D Reconstruction from Multiple Images
Alternative Title
다중 이미지를 이용한 고품질 3D 복원 방법
DGIST Authors
Kyumin HwangSunghoon ImKyong Hwan Jin
Advisor
임성훈
Co-Advisor(s)
Kyong Hwan Jin
Issued Date
2022
Awarded Date
2022/02
Citation
Kyumin Hwang. (2022). High Quality 3D Reconstruction from Multiple Images. doi: 10.22677/thesis.200000593272
Type
Thesis
Subject
Multi-view Stereo (MVS), Depth Estimation, Normal Estimation
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
DOI
10.22677/thesis.200000593272
Degree
Master
Department
Information and Communication Engineering
Publisher
DGIST
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