Full controllable face detection system architecture for robotic vision
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Anisetti, Marco | - |
dc.contributor.author | Bellandi, Valerio | - |
dc.contributor.author | Damiani, Ernesto | - |
dc.contributor.author | Jeon, Gwanggil | - |
dc.contributor.author | Jeong, Jechang | - |
dc.date.accessioned | 2022-12-21T05:08:03Z | - |
dc.date.available | 2022-12-21T05:08:03Z | - |
dc.date.created | 2022-09-16 | - |
dc.date.issued | 2007-12 | - |
dc.identifier.issn | 0000-0000 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/179206 | - |
dc.description.abstract | Face detection nowadays is one of the most promising applications of image analysis and processing. One emerging application field is Human-Robot Interaction. For many applications in this field (including face identification and expression recognition) the precision of facial feature detection and the computational burden are both critical issues. This paper presents a completely tunable hybrid method for accurate face localization based on a quick-and-dirty preliminary detection followed by a 3D refinement. Our technique guarantees complete control over the cost/quality ratio and permits to achieve the precision required for interactive applications. We use our approach to design a Robotic Vision Architecture capable of selecting from a set of strategies to obtain the best results. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | IEEE | - |
dc.title | Full controllable face detection system architecture for robotic vision | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Jeong, Jechang | - |
dc.identifier.doi | 10.1109/SITIS.2007.89 | - |
dc.identifier.scopusid | 2-s2.0-57849102567 | - |
dc.identifier.bibliographicCitation | Proceedings - International Conference on Signal Image Technologies and Internet Based Systems, SITIS 2007, pp.748 - 756 | - |
dc.relation.isPartOf | Proceedings - International Conference on Signal Image Technologies and Internet Based Systems, SITIS 2007 | - |
dc.citation.title | Proceedings - International Conference on Signal Image Technologies and Internet Based Systems, SITIS 2007 | - |
dc.citation.startPage | 748 | - |
dc.citation.endPage | 756 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Applications | - |
dc.subject.keywordPlus | Image analysis | - |
dc.subject.keywordPlus | Internet | - |
dc.subject.keywordPlus | Robotics | - |
dc.subject.keywordPlus | Robots | - |
dc.subject.keywordPlus | Three dimensional | - |
dc.subject.keywordPlus | Complete controls | - |
dc.subject.keywordPlus | Computational burdens | - |
dc.subject.keywordPlus | Critical issues | - |
dc.subject.keywordPlus | Emerging applications | - |
dc.subject.keywordPlus | Expression recognitions | - |
dc.subject.keywordPlus | Face detection systems | - |
dc.subject.keywordPlus | Face detections | - |
dc.subject.keywordPlus | Face identifications | - |
dc.subject.keywordPlus | Face localizations | - |
dc.subject.keywordPlus | Facial feature detections | - |
dc.subject.keywordPlus | Hybrid methods | - |
dc.subject.keywordPlus | Image analysis and processing | - |
dc.subject.keywordPlus | Interactive applications | - |
dc.subject.keywordPlus | Robotic visions | - |
dc.subject.keywordPlus | Face recognition | - |
dc.identifier.url | https://ieeexplore.ieee.org/document/4618848 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.