Please use this identifier to cite or link to this item: https://ir.swu.ac.th/jspui/handle/123456789/13116
ชื่อเรื่อง: Hand posture estimation from 2D image sequence by hand landmark identification
ผู้แต่ง: Puttapirat P.
Charoenpong T.
Keywords: End effectors
Image processing
Models
Three dimensional computer graphics
3D reconstruction
Hand
Landmark
Monocular view
Posture
Palmprint recognition
วันที่เผยแพร่: 2017
บทคัดย่อ: This paper investigates a framework to estimate hand posture from 2D image sequence using hand landmarks identification. The acquired 2D data will be combined with known human hand model and its constraints. Important landmarks of the hand in the image were extracted and identified to specify the location of that landmarks, then they will be matched with the corresponding landmarks in the 3D model to estimate the hand posture and generate a 3D hand model. The result using real hand image sequence shows that the 3D model can move accordingly to the real hand. The framework works well on the four fingers including index, middle, ring, and little finger. The advantage of this method is that it works on hands without markers. © 2017 IEEE.
URI: https://ir.swu.ac.th/jspui/handle/123456789/13116
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85017513610&doi=10.1109%2fKST.2017.7886088&partnerID=40&md5=b2c98af87bbb1a4422f5ecfbe3d5ebf5
Appears in Collections:Scopus 1983-2021

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