Due to real-time requirements for image processing, most of the face detection/recognition code you're going to see is likely to be in C++. Many systems may use OpenCV as a base and/or you can cobble together a reasonable solution from OpenCV's many low-level functions.
The CVCamera sample in there is also good for showing how JNI/NDK interop works on Android which can be helpful for interfacing with other code.
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我建议让 Android OpenCV 端口作为良好的第一步。
由于图像处理的实时要求，您将看到的大多数人脸检测/识别代码可能都是用 C++ 编写的。许多系统可能使用 OpenCV 作为基础，并且/或者您可以从 OpenCV 的许多低级函数中拼凑出合理的解决方案。
那里的 CVCamera 示例也很好地展示了 JNI/NDK 互操作如何在 Android 上工作，这有助于与其他代码交互。
I'd suggest getting the Android OpenCV port working as a good first step.
Due to real-time requirements for image processing, most of the face detection/recognition code you're going to see is likely to be in C++. Many systems may use OpenCV as a base and/or you can cobble together a reasonable solution from OpenCV's many low-level functions.
The CVCamera sample in there is also good for showing how JNI/NDK interop works on Android which can be helpful for interfacing with other code.
face.com 怎么样？ 它是基于网络（服务）的，但应该相当不错！
what about face.com? it's web(service) based, but supposed to be pretty good!