DSpace@Çankaya

Real-time 3D Hand Posture Reconstruction using Stereo Vision

Basit öğe kaydını göster

dc.contributor.author Moğol, Ali Can
dc.contributor.author Hassanpour, Reza
dc.contributor.author Öztoprak, Kasım
dc.date.accessioned 2020-04-13T19:48:37Z
dc.date.available 2020-04-13T19:48:37Z
dc.date.issued 2016
dc.identifier.citation Mogol, Ali Can; Hassanpour, Reza; Oztoprak, Kasim, "Real-time 3D Hand Posture Reconstruction using Stereo Vision", 2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), pp. 1926-1932, (2016). tr_TR
dc.identifier.uri http://hdl.handle.net/20.500.12416/3107
dc.description.abstract One of the important goals in Human Computer Interaction (HCI) is designing better and more intuitive interfaces for improving the interactions. There are lots of approaches to address this problem. One of these approaches is utilizing human hand gestures. The degree of freedom and complex structure of human hand however, make capturing and modeling of hand gestures a challenging problem. In this paper, an inexpensive, fast, and effective method is proposed to capture 3D hand postures and gestures. An articulated 3D hand model capable of incorporating anatomical restrictions is designed. Five markers with different colors are utilized to indicate the location of finger tips in the images. The proposed method, starting with the stereo calibration of the cameras, performs capturing and tracking the color markers attached to the finger tips, reconstructing the 3D coordinates of these points, and calculating the finger articulations by applying inverse kinematics to the developed 3D hand model. The hand posture reconstruction is performed in real-time. tr_TR
dc.language.iso eng tr_TR
dc.publisher IEEE tr_TR
dc.rights info:eu-repo/semantics/closedAccess tr_TR
dc.subject Human Computer Interaction tr_TR
dc.subject 3D Hand Model tr_TR
dc.subject Hand Gesture Detection tr_TR
dc.subject Hand Posture Reconstruction tr_TR
dc.title Real-time 3D Hand Posture Reconstruction using Stereo Vision tr_TR
dc.type conferenceObject tr_TR
dc.relation.journal 2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD) tr_TR
dc.identifier.startpage 1926 tr_TR
dc.identifier.endpage 1932 tr_TR
dc.contributor.department Çankaya Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü tr_TR


Bu öğenin dosyaları:

Dosyalar Boyut Biçim Göster

Bu öğe ile ilişkili dosya yok.

Bu öğe aşağıdaki koleksiyon(lar)da görünmektedir.

Basit öğe kaydını göster