Multiperspective Image Stitching and Regularization via Hybrid Structure Warping

Distortions such as shape changes, ghosting, seam lines, and missing edges often occur in multiperspective image stitching. The authors describe a content-preserving image stitching and completion method based on hybrid structure warping to restrain these distortions. Experiments showed that the pro...

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Veröffentlicht in:Computing in science & engineering Jg. 20; H. 2; S. 10 - 23
Hauptverfasser: Lu, Yan, Hua, Zizheng, Gao, Kun, Xu, Tingfa
Format: Journal Article
Sprache:Englisch
Veröffentlicht: IEEE 01.03.2018
Schlagworte:
Cameras
Distortion
Dynamic programming
graphics
Heuristic algorithms
Image edge detection
image regularization
image stitching
Information processing
intelligent information processing
Intelligent systems
local warping
parallax
scientific computing
seam elimination
Shape analysis
visualization
ISSN:1521-9615, 1558-366X
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Beschreibung
Zusammenfassung:Distortions such as shape changes, ghosting, seam lines, and missing edges often occur in multiperspective image stitching. The authors describe a content-preserving image stitching and completion method based on hybrid structure warping to restrain these distortions. Experiments showed that the proposed approach significantly reduced ghosting and distortion, and when compared to existing methods, displayed a superior visual effect.
ISSN:1521-9615
1558-366X
DOI:10.1109/MCSE.2018.110112927