Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lin, Jia-Ru | en_US |
dc.contributor.author | Lin, I-Chen | en_US |
dc.date.accessioned | 2014-12-08T15:38:08Z | - |
dc.date.available | 2014-12-08T15:38:08Z | - |
dc.date.issued | 2011-01-01 | en_US |
dc.identifier.issn | 1016-2364 | en_US |
dc.identifier.uri | http://hdl.handle.net/11536/26157 | - |
dc.description.abstract | In this paper, a feature-point-driven expression editing and synthesis framework is proposed. While the extensively used blend shape methods suffer detail losing during image blending, the proposed multi-layer method can retain the flexibility and variety of geometry editing and preserve detail features as well. For low-frequency sub-bands, optimization-based blend shape is presented for large-to-mid scale synthesis. In addition, statistics-based feature matching and enhancement are proposed for high-frequency details. Our results show that the proposed methods are adequate to high-resolution expression synthesis and detail-preserved image editing. | en_US |
dc.language.iso | en_US | en_US |
dc.subject | facial expression | en_US |
dc.subject | blend shape | en_US |
dc.subject | image editing | en_US |
dc.subject | steerable pyramid | en_US |
dc.subject | detail preservation | en_US |
dc.title | Multi-layered Expression Synthesis | en_US |
dc.type | Article | en_US |
dc.identifier.journal | JOURNAL OF INFORMATION SCIENCE AND ENGINEERING | en_US |
dc.citation.volume | 27 | en_US |
dc.citation.issue | 1 | en_US |
dc.citation.spage | 337 | en_US |
dc.citation.epage | 351 | en_US |
dc.contributor.department | 多媒體工程研究所 | zh_TW |
dc.contributor.department | Institute of Multimedia Engineering | en_US |
dc.identifier.wosnumber | WOS:000286692500022 | - |
dc.citation.woscount | 0 | - |
Appears in Collections: | Articles |
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