Unsupervised morphing by conjugate image processing
SCIE
SCOPUS
- Title
- Unsupervised morphing by conjugate image processing
- Authors
- Ahn, JH; Oh, JH
- Date Issued
- 2007-10-08
- Publisher
- INST ENGINEERING TECHNOLOGY-IET
- Abstract
- Unsupervised image morphing is a very challenging task in machine learning, whereas it is relatively easy and common for the human brain. Even a simple deformation of an object such as a translation or scaling operation follows a complex curved trace in a high-dimensional image space. The learning of such a complex curved manifold needs human assistance or sufficiently dense intermediate data points. Presented is a novel transformation framework with which a curved manifold describing the deformation of images turns into a simple linear structure in the transformed space. Therefore, image morphing can be achieved by simple linear superposition using the conjugate image representation.
- Keywords
- NONLINEAR DIMENSIONALITY REDUCTION; MANIFOLD
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/28541
- DOI
- 10.1049/E1:20071643
- ISSN
- 0013-5194
- Article Type
- Article
- Citation
- ELECTRONICS LETTERS, vol. 43, no. 21, page. 1137 - 1138, 2007-10-08
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- There are no files associated with this item.
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