Fast and accurate 3D gesture recognition interface

被引：0

作者：

Segen, J ^{[1
]}

Kumar, S ^{[1
]}

机构：

[1] AT&T Bell Labs, Holmdel, NJ 07733 USA

来源：

FOURTEENTH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1 AND 2 | 1998年

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A video-based gesture recognition system can serve as a natural and accurate 3D user input device. We describe a two-camera system, that recognizes three gesture classes: hva static and one dynamic. Far one of these gestures (pointing), the system estimates five parameters of 3D pose: position and pointing direction. The recognition. is robust, independent of the user, and fast (60 Hz), and the estimated pose is very stable . We describe some of the interface applications that demonstrate the benefits of the system: control of a video game, piloting a virtual reality fly-though, and interaction with a 3D scene editor.

引用

页码：86 / 91

页数：6

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