Software:

Software IDEs

SW Installation Tips

• Microsoft Visual Studio (this is what we will use for Kinect with C++ development). See details from Richard Uhler about how to get this free for home use. This is the IDE used most commonly by the pre-req. courses in C/C++.

email msdnaa@csueastbay.edu and give the following:

• name,
• horizon email address
• instructor name
• software request (MS Visual Studio **** = check version number for compatability with what we have currently in our classroom).

FOLLOW instructions given to you...this may be a straight download or may be a multi-part process and currently involves burning image of software to DVD and then installing from that DVD

here is an example of me doing it in Jan 2012 ---it may change for you so YOU FOLLOW the current instrucitons.

Special Note for Mac Users

This software can not be installed on the Mac OS. You have a number of options listed here

1. OPTION 1 FOR MAC: use the VM with the MS Visual Studio Software on it from the CSU Virtual Computing Lab that I have setup for you.
2. OPTION 2 FOR MAC: install your own VM and then in it Windows *** Operating System (you can get this software the same way as you got the compiler from Microsoft --see above).
3. OPTION 3 FOR MAC:
   setup Bootcamp (boot manager --so you can startup your Mac directly to toggle between running Mac as normal or Windows) on their Mac (Intel based machine), they can download Windows 7 (or current version) from the site where you downloaded MS Visual Studio 2010. Then install the MS Visual Studio 2010 on this install of Windows.
   Note --- this will not erase your Mac OS or its software...it is like have two computer OSs on one computer you can switch between.

Various Code Samples (students please send me links of code you have found and like)

• Invariant SIFT features (in C with Matlab) http://www.vlfeat.org/overview/sift.html
• Berkley segmenation software (in C++) http://www.cs.berkeley.edu/~fowlkes/BSE/

General Sites

Computer Vision Homepage

Computer Vision Online

CV Companies, list 2, list 3

Ventures, Venture list 2 , Some CV Angellists

CV demos

 

 

CODELABS

 

 

Google GAE Python w/ Computer Vision API -face emotion (joy) detection web app

Journals/ Conferences / Lists:

Computer Vision and Image Understanding

Medical Imaging Conferences List

CVPR- computer vision and pattern recognition

 

(See ACM and IEE and SPIE for various conferences)

 

Computer Vision Meetups

local autonomous vechicle group

Lectures/Training/Sites

Applications

Mobile Image Proc

Course on Math for Computer vision and robotics (for the brave!)

 

Papers on "biometrics" and vision --e.g. face recognition, iris detection, etc

• Fusing Face and Iris detection(http://www.nd.edu/~kwb/ConnaughtonEtAl_2012.pdf)
• Survey of Iris Detection (http://www.nd.edu/~kwb/BowyerEtAl_2012.pdf)
• Predicting Gender from Irises (http://www.nd.edu/~kwb/ThomasChawlaBowyerFlynnBTAS_2007.pdf)
• Tutorial on Iris Detection (http://www.cse.nd.edu/~kwb/HST_Iris_Tutorial.pdf)

Web Conferencing

On Blackboard - blackboard collaborate

Zoom -plugin for chrome and other browsers (currently --can change free 1- on -1 meetings)

Tools and more

Gimp (software has some cpabilities of adobe photoshop)

Data - here are a few "free" data sets --search the web for more.

http://cocodataset.org/#home" coco

•Example from COCO

 

 

•Image Net – 14 Million images, 21,841 sub-categories

http://image-net.org

 

•COCO – 100 objects, images= 200K labeled, 330K total

http://cocodataset.org

 

 

RGB-D People dataset

http://www2.informatik.uni-freiburg.de/~spinello/RGBD-dataset.html

3000 images from 3 Vertically mounted Kinect

 

 

Index of various public (smaller) datasets individuals have posted- https://dataturks.com/projects/Trending?type=IMAGE_CLASSIFICATION

 

•Person -rgb +depth (kinect) - 100 people, 100,000 images http://srl.informatik.uni-freiburg.de/human_attributes_dataset

 

MIcrosoft DataSets and more (most non-visual, a few images):

Realistic Scenes wide variety of objects and scenes (PASCAL)

Caltech 101 - images of objects in 101 categories

 

 

 

Activity / Action Data Sets (video or image sequences):

UCF101: 13320 videos from 101 action categories, https://www.crcv.ucf.edu/data/UCF101.php

 

 

 

HMDB: Human Motion Database: 7,000 clips distributed in 51 action classes. http://serre-lab.clps.brown.edu/resource/hmdb-a-large-human-motion-database/

 

 

Human Affectation (emotion+):

• SEWA-video w/ audio of human responding with emotions, marked landmark points, etc.
  
• SEMA dataset - video w/audio of person talking with an agent

Bias and Vision/ML Ethics

•  interactive video leads the viewer through a series of psychological experiments in order to illustrate what unconscious bias is and why it matters for women in technology. Get your household together to watch the video, and talk about your responses to each experiment as you go along.

MISCELLANEOUS

1) stanford cnn vision recognition course

2) mobile vision class

2) OpenCV with Java and Android

3) Readings on Wearabable Computers

4) Beginning Computer vision course at stanford (they use matlab-yuck)

5) Stanford 3D recognition lectures class

6)- Learning OpenCV, by Gary Bradski & Adrian Kaehler, O'Reilly Media, 2008.

7) Udacity mini degree self-driving cars