Object recognition from a micro helicopter

Roque Nimrod Cruz Gomez, A. P. Merino, S. Vergara-Limón, M. Vargas-Treviño, Luz del Carmen Gomez, F. Reyes‐Cortes
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引用次数: 0

Abstract

The rapid expansion of computer processing power combined with the rapid development of digital camera capability has resulted in equally rapid advances in computer vision capability and use. The Open Source Computer Vision Library (OpenCV), is a free open source collection of computer vision routines geared mainly towards human-computer interactions, robotics, security, and others vision applications where the lighting and context of use cannot be controlled. The OpenCV library provides us a greatly interesting demonstration for face detection. Furthermore, it provides us programs (or functions) that they used to train classifiers for their face detection system, called HaarTraining, in this work we create our own object detection system, with object classifier using their function, in order to detect any object, not only faces.
来自微型直升机的物体识别
计算机处理能力的迅速扩展与数码相机能力的迅速发展相结合,导致了计算机视觉能力和应用的迅速发展。开源计算机视觉库(OpenCV)是一个免费的开源计算机视觉例程集合,主要面向人机交互、机器人、安全以及其他照明和使用环境无法控制的视觉应用。OpenCV库为我们提供了一个非常有趣的人脸检测演示。此外,它为我们提供了他们用来训练分类器的程序(或函数),用于他们的人脸检测系统,称为HaarTraining,在这项工作中,我们创建了我们自己的对象检测系统,使用对象分类器使用他们的功能,以便检测任何对象,而不仅仅是人脸。
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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