增强视觉 | 计算机视觉 增强现实

如果我有时间，我可以一天更新十次。但是我没有。 所以，如果你喜欢我喜欢的，你关心我关心的，请联系我，让我们一起做好这个博客。 cvchina.info@gmail.com 点我加1：

类LeapMotion，看起来相当给力。锋时互动出品。

课程介绍是这样的
Compressive sensing (CS) is new method for sensing and signal recovery from far-fewer measurements than what is suggested by traditional sampling theories. This has immense benefits in applications where we seek to sense at faster speeds, higher resolution, lower power consumption and reduced sensor costs. At the heart of CS is the idea that we can solve under-determined linear systems using sparse signal representations and specialized convex optimization techniques.

In this course, we will develop a formal study of techniques required to solve under-determined linear systems. We will discuss the theory and practice of sparse optimization. This will involve a rich interplay of ideas from linear algebra, probability, and convex optimization. Finally, we will explore broader applications in computational imaging, neural signal processing, and sparse regression that benefit from the theory and optimization methods developed in the course.

课件下载：地址
感谢chris鼎提供的教学课件

Geoffrey E. Hinton在NIPS 2009上的发言，转发自videolectures.

PPT在：这里

要求：
1. 在条码扫描，OCR，人脸识别，图像搜索等方向有相关研究经验。
2. 有良好的c/c++编程能力。 对ios，android平台有一定的了解。
3. 具有激情和创新精神。

工作地点： 杭州

有意者请发简历到 qiyu.fy@taobao.com

计算机视觉这个领域有很多人蜂拥了进来，虽然这里的工作岗位并没有想象的那么多，原因我想不是那么的难，要么是计算机视觉真的很有趣，比如造一个可以跑AR的东西，很娱乐性，另外就是计算机视觉的本质是和人工智能这个大家都不太爱提的名词有很直观的连接。

这个时候，不禁要问，在这个领域，到底我们在做什么。所谓的人工智能，或者我们看到的某些精致的程序，或者在某个数据集上跑出精彩结果的算法，到底是什么，1973年的时候，英国的James Lighthill 在一份给当时英国政府的报告中，强调人工智能的不实用性，并在之后和Donald Michie、Richard Gregory还有图灵奖获得者、LISP语言的发明人John McCarthy进行了辩论。Lighthill 提出的观点是“人工智能是海市蜃楼”，“不可能有全面的大规模的应用”。 Lighthill最后赢得了这场辩论，使得英国政府削减了除了牛津剑桥外所有学校的人工智能的经费，之后有人把这个称作“AI winter”。

不妨听下这个一个多小时的辩论，看看你做的东西是不是Lighthill所说的“海市蜃楼”。

看到了一个 陶哲轩 的演讲，虽然讲的是宇宙距离的尺度，但还是觉得很有趣，就转过来了。

讨论的问题很大，很宽泛。

东大工科男又发威了，Matlab的出奇的好用是公认的，而且在中国大陆大部分还是不要钱的（嘿嘿），OpenCV相对于matlab是出奇的快，而且在全世界任何的国家都不要钱，而且现在是该有的算法都有了，那怎么结合这两者呢，谁都知道，mex化opencv，但又有谁做了呢？
阅读全文…

在内华达州除了拉斯维加斯之外的Lake Tahoe（貌似是滑雪圣地）举办了NIPS 2012，在video lecture上的视频开始放出了.
阅读全文…

翻OpenCV的网站，发现这个月新出了一本书《Mastering OpenCV with Practical Computer Vision Projects》，可以在https://github.com/MasteringOpenCV/code上下载书中对应的源代码。感觉每一个项目都很典型，有机会要选几个慢慢研究一下。

The book “Mastering OpenCV with Practical Computer Vision Projects” is now for sale from Packt Publishing with free shipping to many countries! Each chapter is a separate project containing step-by-step tutorials + full source-code using the latest C++ interface of OpenCV v2.4, written by 7 authors that are well-known among the OpenCV community for their blogs & open-source projects.

Chapters (each is a project with full source-code):
- Cartoonifier and Skin Changer for Android.
- Marker-based Augmented Reality on iPhone or iPad.
- Marker-less Augmented Reality.
- Exploring Structure from Motion using OpenCV.
- Number Plate Recognition using SVM and Neural Networks.
- Non-rigid Face Tracking.
- 3D Head Pose Estimation using AAM and POSIT.
- Face Recognition using Eigenfaces or Fisherfaces.
- Developing Fluid Wall using the Microsoft Kinect.

Authors (in alphabetical order):
- Daniel Lélis Baggio (“http://code.google.com/p/ehci/“)
- Shervin Emami (“http://www.shervinemami.info/openCV.html“)
- David Millán Escrivá (“http://blog.damiles.com/“)
- Khvedchenia Ievgen (“http://computer-vision-talks.com/“)
- Naureen Mahmood (“http://howdweknows.blogspot.com/“)
- Jason Saragih (“http://jsaragih.org/“)
- Roy Shilkrot (“http://www.morethantechnical.com/“)

The book can be purchased from “http://www.packtpub.com/cool-projects-with-opencv/book” either as a physical book or as a PDF eBook.

The latest code can be downloaded from “https://github.com/MasteringOpenCV/code“, including a screenshot of each project (scroll down on the front page).

Note: You should already have basic experience with OpenCV and C/C++ before reading this book, as this book does not explain the basics of OpenCV and it assumes you already have it installed. For example, you could read the “Learning OpenCV” book and/or the “OpenCV 2 Cookbook” to learn the basics of OpenCV, then read this “Mastering OpenCV” book for more advanced skills and project ideas!

(From: http://blog.damiles.com/2012/12/mastering-opencv-with-practical-computer-vision-projects/)

NIPS 2010的会后餐会上的视频，Deep learning,live long and prosper

转自Jia-Bin Huang