Cited 0 time in webofscience Cited 0 time in scopus

High Quality 3D Reconstruction from Multiple Images

Title
High Quality 3D Reconstruction from Multiple Images
Translated Title
다중 이미지를 이용한 고품질 3D 복원 방법
Authors
Kyumin Hwang
DGIST Authors
Kyumin Hwang; Sunghoon ImKyong Hwan Jin
Advisor(s)
임성훈
Co-Advisor(s)
Kyong Hwan Jin
Issue Date
2022
Available Date
2022-03-08
Degree Date
2022/02
Type
Thesis
Keywords
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
University
DGIST
Related Researcher
  • Author Im, Sunghoon Computer Vision Lab.
  • Research Interests Computer Vision; Deep Learning; Robot Vision
Files:
There are no files associated with this item.
Collection:
Department of Electrical Engineering and Computer ScienceThesesMaster


qrcode mendeley

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE