增强现实使用光学字符识别 [英] Augmented reality with Optical character recognition
问题描述
我已经实现了使用高通的vuforia库增强现实程序。现在我想光学字符识别功能添加到我的程序，这样我可以从一种语言翻译到另一种实时的文本。我打算使用的tesseract OCR库。但我的问题是我如何与QCAR集成的tesseract？
可一些身体建议我适当的方式做到这一点？
I have implemented Augmented reality program using Qualcomm's vuforia library. Now I want to add Optical character recognition feature to my program so that i can translate the text from one language to another in real time. I am planning to use Tesseract OCR library. But my question is How do i Integrate Tesseract with QCAR? can some body suggest me proper way to do it?
推荐答案
您需要的是摄像头帧的访问，所以你可以将它们发送给的tesseract。该Vuforia SDK提供了一种使用 QCAR :: UpdateCallback 界面（访问框架文件的这里）。
What you need is an access to the camera frames, so you can send them to Tesseract. The Vuforia SDK offers a way to access the frames using the QCAR::UpdateCallback interface (documentation here).
您需要做的是创建一个实现此协议的类，使用 QCAR其注册到Vuforia SDK :: registerCallback（）（见的这里），并从那里你会的Vuforia SDK已经处理一帧每次收到通知。
What you need to do is create a class that implements this protocol, register it to the Vuforia SDK using the QCAR::registerCallback() (see here), and from there you'll get notified each time the Vuforia SDK has processed a frame.
这个回调将提供一个 QCAR ::国家对象，从中你可以访问摄像机架（见 QCAR的文档::国家:: getFrame（）方法 这里）和它发送到的tesseract SDK。
This callback will be provided a QCAR::State object, from which you can get access to the camera frame (see the doc for QCAR::State::getFrame() here), and send it to the Tesseract SDK.
但是意识到这一点的Vuforia SDK适用于框架在一个相当低的分辨率（对我测试过的手机，它返回在360x240到720x480的帧范围，而且往往前者的事实比后者），这可能是不够准确的tesseract来检测文本
But be aware of the fact that the Vuforia SDK works with frames in a rather low resolution (on many phones I tested, it returns frames in the 360x240 to 720x480 range, and more often the former than the latter), which may not be accurate enough for Tesseract to detect text.
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