Pose estimation of a fast-moving articulated hand = 빠른 움직임의 손 관절 자세 추정

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Hand pose estimation is actively studied problem in many areas such as Augmented Reality (AR), Virtual Reality (VR), Computer Vision (CV), and Human Computer Interaction (HCI). Existing model-based hand tracking studies tracked fairly accurately and robustly hand pose for slow and smooth hand motion by assuming temporal continuity of the hand pose. In addition, learning-based hand pose estimation studies estimated accurately hand pose in a single camera frame without the assumption of temporal continuity. However, motion blur occurs when the hand moves quickly, which significantly drops the accuracy of the previously studied approaches. This dissertation studies the methods that estimate the 3D hand pose from a depth camera, a gyroscope, and an infrared camera in a situation where temporal continuity of hand pose cannot be assumed and in a challenging environment called motion blur. The proposed method is verified by performing quantitative and qualitative comparisons with state-of-the-art methods. This study demonstrates the possibility of application in augmented reality and virtual reality by showing that it can be used in 3D interaction and sign language.
Advisors
Woo, Woontackresearcher우운택researcher
Description
한국과학기술원 :문화기술대학원,
Publisher
한국과학기술원
Issue Date
2020
Identifier
325007
Language
eng
Description

학위논문(박사) - 한국과학기술원 : 문화기술대학원, 2020.8,[vi, 69 p. :]

Keywords

Hand Articulations Tracking▼aHand Pose Estimation▼aFast Hand Motion▼aMotion Blur▼aAugmented Reality▼aVirtual Reality; 손 관절 추적▼a손 자세 추정▼a빠른 손 움직임▼a모션 블러▼a증강현실▼a가상현실

URI
http://hdl.handle.net/10203/284402
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=924463&flag=dissertation
Appears in Collection
GCT-Theses_Ph.D.(박사논문)
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