Cited 0 time in webofscience Cited 0 time in scopus

Large parallax image stitching and its quantitative assessment

Title
Large parallax image stitching and its quantitative assessment
Translated Title
큰 시차 이미지 스티칭 및 정량적 평가 방법
Authors
Kyunghwa Jung
DGIST Authors
Kyunghwa Jung; Jaesung HongHyunki Lee
Advisor(s)
홍재성
Co-Advisor(s)
Hyunki Lee
Issue Date
2021
Available Date
2022-07-07
Degree Date
2021/02
Type
Thesis
Keywords
Image morphing, image stitching, inverse/object panorama, parallax, plane+parallax, 물체 파노라마, 시차, 영상 모핑, 영상 스티칭, 평면+시차
Table Of Contents
Ⅰ. Introduction 1 1.1 Narrow field-of-view of arthroscopic image 1 1.2 Panoramic image stitching 2 1.3 Assessment of image stitching methods 3 1.4 Thesis contributions 5 Ⅱ. Background and related works 6 2.1 Parallax 6 2.1.1 Planar parallax in computer vision 6 2.1.2 Parallax level caused by camera configuration 8 2.2 Parallax-tolerant image stitching 11 2.2.1 Feature correspondence 11 2.2.2 Image warp for alignment 11 2.3 Quality assessment of stitched images 13 Ⅲ. Method 15 3.1 Proposed object panorama method 15 3.1.1 Active feature matching and outlier rejection 15 3.1.2 Image morphing using a curved interpolation line 16 3.1.3 Seamless composition 20 3.2 Assessment of parallax-tolerant image stitching method 21 3.2.1 Planar parallax estimation 22 3.2.2 Completion of the image dataset 25 3.2.3 Grouping of parallax images 25 Ⅳ. Experiments and results 27 4.1 Proposed object panorama method 27 4.1.1 Comparison in terms of the visible region 27 4.1.2 Panorama according the difference in viewpoints 28 4.1.3 Comparison with other panorama algorithms 29 4.1.3.1 Results using AutoStitch, Photoshop, and ICE 30 4.1.3.2 Results using APAP, SPHP, ANAP, ELA, and the proposed method 30 4.1.4 Similarity with the middle region 32 4.2 Assessment of parallax-tolerant image stitching method 35 4.2.1 Reliability of parallax estimation metric 35 4.2.2 Grouping of parallax image 38 4.2.3 Performance assessment on grouped image 40 4.3 Assessment of the proposed object panorama method 45 4.3.1 Parallax level of input image 45 4.3.2 Assessment about parallax improvement 45 Ⅴ. Discussion 47 Ⅵ. Conclusion 52
URI
http://dgist.dcollection.net/common/orgView/200000364944
http://hdl.handle.net/20.500.11750/16710
DOI
10.22677/thesis.200000364944
Degree
Doctor
Department
Robotics Engineering
University
DGIST
Related Researcher
  • Author Lee, HyunKi Camera Culture Group
  • Research Interests Machine Vision, Intelligent Robot, Design of Optical Systems
Files:
There are no files associated with this item.
Collection:
Department of Robotics and Mechatronics EngineeringThesesPh.D.


qrcode mendeley

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

BROWSE