A kinetic and 3D image input device
A kinetic and 3D image input device
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动态3D图像输入设备
DOI：
10.1145/286498.286723
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发表时间：
1998
期刊：
影响因子：
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通讯作者：
M. Doi
中科院分区：
文献类型：
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作者：
Shunichi Numazaki;Akira Morishita;N. Umeki;M. Ishikawa;M. Doi
真实的手势识别可以在人类和计算机之间架起一座桥梁。在传统的手势识别技术中，从背景中分割出目标是一个关键问题。我们已经开发了一种新的输入设备，它可以检测动态和三维图像的手在真实的时间。我们称之为“运动处理器”。配备红外光源和区域传感器的运动处理器可以以每秒30帧的速度检测手部的反射光图像。图像分辨率为64像素× 64像素。基于检测到的手部图像，很容易真实的实时地识别手势和运动。这种手势识别弥合了人类和计算机之间的差距。
Gesture recognition in real time can bridge a gap between humans and computers. Object segmentation from the background is a critical problem in the conventional gesture recognition technology. We have developed a new input device which can detect a kinetic and 3D image of a hand in real time. We call it “Motion Processor”. The Motion Processor with infrared light sources and an area sensor can detect the reflected light image of a hand at 30 frames per second. The image resolution is 64 pixels by 64 pixels. It is easy to recognize gestures and motions in real time based on the detected hand images. This gesture recognition bridges a gap between humans and computers.