Database Guided Realistic Grasping Posture Generation Using Inverse Kinematics
スポンサーリンク
概要
- 論文の詳細を見る
This paper addresses the important issue of estimating realistic grasping postures, and presents a methodologh and algorithm to automate the generation of hand and body postures during the grasp of arbitrary shaped objects. Predefined body postures stored in a database are generalized to adapt to a specific grasp using inverse kinematics. The reachable space is represented discretely dividing into small subvolumes, which enables to construct the database. The paper also addresses some common problems of articulated figure animation. A new approach for body positioning with kinematic constraints on both hands is described. An efficient and accurate manipulation of joint constraints is presented. Obtained results are quite satisfactory, and some of them are shown in the paper. The proposed algorithms can find application in the motion of virtual actors, all kinds of animation systems including human motion, robotics and some other fields such as medicine, for instance, to move the artificial limbs of handicapped people in a natural way.
- 社団法人電子情報通信学会の論文
- 1998-11-25
著者
-
Aydin Y
The Authors Are With Tokyo Institute Of Technology Graduate School Of Information Science & Engi
-
AYDIN Yahya
The authors are with Tokyo Institute of Technology, Graduate School of Information Science & Enginee
-
NAKAJIMA Masayuki
The authors are with Tokyo Institute of Technology, Graduate School of Information Science & Enginee
-
Nakajima Masayuki
The Authors Are With The Graduate School Of Information Science And Engineering Tokyo Institute Of T
-
Nakajima Masayuki
The Authors Are With Tokyo Institute Of Technology Graduate School Of Information Science & Engi
関連論文
- Database Guided Realistic Grasping Posture Generation Using Inverse Kinematics
- Creating Virtual Environment Based on Video Data with Forward Motion
- Visual Stereo Image Generation from Video Data Using Phase Correlation Technique