Time Complexity of Color Camera Depth Map Hand Edge Closing Recognition Algorithm

Shahan Yamin Siddiqui, , Ghanwa Batool, Muhammad Sohail Irshad, Hafiz Muhammad Usama, Muhammad Tariq Siddique, Bilal Shoaib, Sajid Farooq, , Arfa Hassan
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引用次数: 0

Abstract

The objective of this paper is to calculate the time complexity of the colored camera depth map hand edge closing algorithm of the hand gesture recognition technique. It has been identified as hand gesture recognition through human-computer interaction using color camera and depth map technique, which is used to find the time complexity of the algorithms using 2D minima methods, brute force, and plane sweep. Human-computer interaction is a very much essential component of most people's daily life. The goal of gesture recognition research is to establish a system that can classify specific human gestures and can make its use to convey information for the device control. These methods have different input types and different classifiers and techniques to identify hand gestures. This paper includes the algorithm of one of the hand gesture recognition “Color camera depth map hand edge recognition” algorithm and its time complexity and simulation on MATLAB.
彩色相机深度图手边缘闭合识别算法的时间复杂度
本文的目的是计算手势识别技术中彩色相机深度图手边缘闭合算法的时间复杂度。它被确定为使用彩色相机和深度图技术通过人机交互进行手势识别,该技术用于使用2D最小方法,蛮力和平面扫描来发现算法的时间复杂度。人机交互是大多数人日常生活中必不可少的组成部分。手势识别研究的目标是建立一个能够对特定的人类手势进行分类的系统,并使其能够为设备控制传递信息。这些方法有不同的输入类型和不同的分类器和技术来识别手势。本文介绍了手势识别中的一种算法“彩色相机深度图手边缘识别”算法及其时间复杂度,并在MATLAB上进行了仿真。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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