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Article . 2001 . Peer-reviewed
License: Elsevier TDM
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Article . 2020
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Layer-Based Morphing

Layer-based morphing
Authors: Minglun Gong; Yee-Hong Yang;

Layer-Based Morphing

Abstract

Summary: Image-morphing techniques are often employed to generate fluid transitions between two reference images. Many algorithms have been proposed in this area. Existing warp functions used in morphing algorithms are one-to-one. Consequently, when some features are visible in only one of the reference images, ''ghosting'' problems will appear in some in-between images. In addition, since the control features have global effects, there is no way to control different objects in the scene separately. In this paper, two new morphing approaches are introduced. In the first approach, called region-based morphing, regions are specified and morphed separately. In the second approach, called layer-based morphing, regions are defined in different layers. Hidden information is recovered and is used to solve the visibility problems.

Related Organizations
Keywords

Computing methodologies and applications, hierarchical polynomial fit filter, Computing methodologies for image processing, image-based rendering, image morphing, Computer science aspects of computer-aided design

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    popularity
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
gold