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jQuery、PHP与API等实现脸部辨识功能

Jun 13, 2016 am 09:42 AM
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     导读:脸部辨识是通过图像算法来判断人脸位置和大小的计算机技术。它指认面部特征,忽略其他图像噪音,譬如建筑物,树木和身体。现在大多数社交网络平台的相册都有这个功能,在你上载了一张照片后,它自动跑算法,在照片上标识出你的朋友。此文向你介绍用不同的插件和库来实现这个功能。

  jQuery 脸部辨识

  jQuery 的插件在照片上标识脸部并给出他们的坐标和大小。这个插件是由六六(音译:Liuliu)结合 HTML5 canvas 开发的,所以只能在支持 HTML5 的客户端跑。有兴趣的话可以参见这个样例(见下图,不过要翻墙),整套算法代码可以在 git hub 下载。
      PHP 脸部辨识扩展

  提供了用 PHP 实现的 OpenCV (Open Source Computer Vision) 。它包含两个函数 face_count () 和 face_detect (). 第一个给了在一张图像上所标识的面部数量。第二个给了一个他们的坐标数列和总数量。你可以在 XARG’s page.找到安装程序和使用手册,还有 Demo。

  脸部辨识 API

  这个 API 是由一个罗马尼亚人开发。这个使用还是很方便的。你的程序发给它 API 认证和要分析的图像 URL,它返给你一个 XML 数据包含在图像上发现的所有脸部数据。这个包特别方便,是因为它可以直接分析 URL 而不是图像数据,所以你可以直接在服务器上抓链接然后进行分析。

  Ruby

  这个是跟使用 OpenCV 的 Ruby 包,和 PHP 的那段程序很像。你们可以在 Ruby 页面下载程序。

  OpenCVDotNet

  这个是为.NET framework 开发的程序管理,通过他可以直接从 C# 里面叫 OpenCV 的函数。 它包括一个 DLL (C++写的) 把 OpenCV 包在 .NET 的类里面,这样 VB.NET, C++ 和 C# 都可以用。

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