说说Android和iOS里面自带的人脸检测API。
Android提供了一个人脸检测类 android.media.FaceDetector，调用findFaces函数，它可以返回图片中的找到的人脸。人脸的属性封装在Face类，包括x, y, z三轴的人脸pose，还有两眼距离eyesDistance()。这个API从Android刚推出时Level 1就已经有了。
iOS以前是没有人脸检测模块的。去年苹果收购了Polar Rose，把他们人脸检测技术融入到新推出的iOS 5当中：CIDetector是个通用的检测器，构造时可以指定感兴趣的目标，目前只能检测人脸CIDetectorTypeFace。返回的人脸信息封装在CIFaceFeature类中，包含了：leftEyePosition, rightEyePosition, mouthPosition。 iOS 5现在还在Beta测试版中，只对付费developer开放，估计很快就要正式发布了。
从功能上来看两者差不多。至于效果，我只看过WWDC上iOS的Demo，可以做实时Avatar。Android的API从初代Level 1就有了，如果用的人不多的话，猜测可能效果不能保证。
VIA 老杨
之前介绍了ORB，一种具备旋转不变形的局部特征描述子。OpenCV2.3中提供了实现，但是缺少使用例程。下面是一个简单的样例程序。
随便拍了两张图片作为测试图像。
下面上下两图分别为模板图像和查询图像：
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Intel开发了一个名为“River Trail”的Java Script扩展，使得web应用可以使用硬件（Intel的CPU）的平行计算能力。
River Trail extends JavaScript with a simple, yet powerful data-parallel programming model. Much effort was spent to make this extension feel as natural as possible. Our goal was to make writing web applications with River Trail as easy as writing regular JavaScript.
River Trail无疑为图像处理，计算机视觉，语音处理以web应用的方式传播，发展带了极大的方便。一个显而易见的应用就是AR中的marker识别，有了River Trail，就不必像以往一样借助flash？
目前River Trail已经可以作为一个Firefox插件通过Github下载。
来源
美帝的法国貌似是美法混血的有心人士（此有心人士长期从事航天飞机研究。。汗。。）收集了市面上的矩阵分解的几乎所有算法和应用，由于源地址在某神秘物质之外，特转载过来，源地址
Matrix Decompositions has a long history and generally centers around a set of known factorizations such as LU, QR, SVD and eigendecompositions. More recent factorizations have seen the light of the day with work started with the advent of NMF, k-means and related algorithm [1]. However, with the advent of new methods based on random projections and convex optimization that started in part in the compressive sensing literature, we are seeing another surge of very diverse algorithms dedicated to many different kinds of matrix factorizations with new constraints based on rank and/or positivity and/or sparsity,… As a result of this large increase in interest, I have decided to keep a list of them here following the success of the big picture in compressive sensing. 阅读全文…
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