通过识别手指的动作来识别物体

M. Hild, Motonobu Hashimoto, Kazunobu Yoshida
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引用次数: 5

摘要

我们提出了一种通过观察人的手指动作来确定物体身份的物体识别方法。该系统确定头部和手部区域,实时跟踪它们,并通过对3D数据点的分析来验证它们。然后确定指向方向并与环境模型相交。交点计算基于指向过程和对象表示的势场模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Object recognition via recognition of finger pointing actions
We propose an object recognition method in which the identity of objects is determined by observing the finger pointing action of persons. The system determines the head and hands regions, tracks them in real time, and verifies them through an analysis of 3D data points. Then it determines the pointing direction and intersects it with an environment model. Intersection computations are based on potential field models for both the finger pointing process and the object representations.
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