Robust hand detection for augmented reality interface
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Choi, Junyeong | - |
dc.contributor.author | Seo, Byung-Kuk | - |
dc.contributor.author | Park, Jong-Il | - |
dc.date.accessioned | 2022-12-20T19:32:03Z | - |
dc.date.available | 2022-12-20T19:32:03Z | - |
dc.date.created | 2022-09-16 | - |
dc.date.issued | 2009-12 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/175685 | - |
dc.description.abstract | For interactive augmented reality, vision-based and hand-gesture-based interface are most desirable due to being natural and human-friendly. However, detecting hands and recognizing hand gestures in cluttered background are still challenging. Especially, if the background includes a large skin-colored region, the problem becomes more difficult. In this paper, we focus on detecting a hand reliably and propose an effective method. Our method is basically based on the assumption that a hand-forearm region (including a hand and part of a forearm) has different brightness from other skin-colored regions. Specifically, we first segment the hand-forearm region from other skin-colored regions based on the brightness difference which is represented by edges in this paper. Then, we extract the hand region from the hand-forearm region by detecting a feature point which indicates the wrist. Finally, we extract the hand by using the brightness-based segmentation which is slightly different from the hand-forearm region detection. We verify the effectiveness of our method by implementing a simple hand gesture interface based on our method and applying it to augmented reality applications. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Association for Computing Machinery | - |
dc.title | Robust hand detection for augmented reality interface | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Park, Jong-Il | - |
dc.identifier.doi | 10.1145/1670252.1670324 | - |
dc.identifier.scopusid | 2-s2.0-76749118135 | - |
dc.identifier.bibliographicCitation | Proceedings - VRCAI 2009: 8th International Conference on Virtual Reality Continuum and its Applications in Industry, pp.319 - 321 | - |
dc.relation.isPartOf | Proceedings - VRCAI 2009: 8th International Conference on Virtual Reality Continuum and its Applications in Industry | - |
dc.citation.title | Proceedings - VRCAI 2009: 8th International Conference on Virtual Reality Continuum and its Applications in Industry | - |
dc.citation.startPage | 319 | - |
dc.citation.endPage | 321 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Augmented reality applications | - |
dc.subject.keywordPlus | Brightness difference | - |
dc.subject.keywordPlus | Feature point | - |
dc.subject.keywordPlus | Gesture-based interface | - |
dc.subject.keywordPlus | Hand detection | - |
dc.subject.keywordPlus | Hand gesture | - |
dc.subject.keywordPlus | Hand-gesture recognition | - |
dc.subject.keywordPlus | Human-friendly | - |
dc.subject.keywordPlus | Region detection | - |
dc.subject.keywordPlus | Skin-colored regions | - |
dc.subject.keywordPlus | Vision based | - |
dc.subject.keywordPlus | Augmented reality | - |
dc.subject.keywordPlus | Feature extraction | - |
dc.subject.keywordPlus | Virtual reality | - |
dc.subject.keywordPlus | Wearable computers | - |
dc.subject.keywordPlus | Gesture recognition | - |
dc.subject.keywordAuthor | Augmented reality interface | - |
dc.subject.keywordAuthor | Hand detection | - |
dc.subject.keywordAuthor | Hand gesture recognition | - |
dc.identifier.url | https://dl.acm.org/doi/10.1145/1670252.1670324 | - |
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