Title

Large parallax image stitching and its quantitative assessment

Alternative Title

큰 시차 이미지 스티칭 및 정량적 평가 방법

DGIST Authors

Kyunghwa Jung ; Jaesung Hong ; Hyunki Lee

Advisor

홍재성

Co-Advisor(s)

Hyunki Lee

Issued Date

2021

Awarded Date

2021/02

Citation

Kyunghwa Jung. (2021). Large parallax image stitching and its quantitative assessment. doi: 10.22677/thesis.200000364944

Type

Thesis

Subject

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

Publisher

DGIST

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