Computer Science 570/670

Welcome to the Computer Vision Class Wiki!

The professor for this course is Allen Hanson (hanson@cs.umass.edu). The TA for the course is Shiraj Sen (shiraj@bodega.cs.umass.edu)

Office Hours

TBA. You can always make an email appointment with either of us.

Topics

• Introduction to Computer Vision
• Sensors
• Image Formation
• Human Vision
• Features (Part 1)
• Basic Probability
• Pattern Classification and Clustering
• Features (Part 2)
• Motion and Stereo Vision
• Tracking
• Applications (Medical, Information Retrieval, and 3D Reconstruction)
• Perceptual Organization
• Image Interpretation

Links

• CourseBulletinBoard
• Lectures-Spring06
• MatLabInfo
• ImagePage
• GradingInfo
• Collaboration
• Assignments

Points Of Interest

• CV-Online is a tremendous educational resource, consisting a bunch of topics in computer vision written by experts. http://homepages.inf.ed.ac.uk/rbf/CVonline/
• The USC computer vision bibliography contains references to most of the important papers in vision and is searchable. http://iris.usc.edu/Vision-Notes/bibliography/contents.html
• Chris Stauffer's web page. http://people.csail.mit.edu/people/stauffer/Home/stauffer_research.php
• Staggered motion illusion http://www.michaelbach.de/ot/mot_feet_lin/
• Motion illusions http://cvs.anu.edu.au/johannes/mot_ill.html#linmot
• Another page on the Aperture Problem http://vision.bhs.mq.edu.au/~peterw/aperture2.dcr
• The Aperture Problem http://www.psico.univ.trieste.it/labs/perclab/integration/english_version/aperture.php3
• Volker Blanz's home page (see Tom Hanks movie here). http://www.mpi-sb.mpg.de/~blanz/
• The physics of CCDS: http://spiff.rit.edu/classes/phys445/lectures/ccd1/ccd1.html
• Amazing math site, MATHWORLD: http://mathworld.wolfram.com/
• Shree Nayar's Lab (cool cameras): http://www1.cs.columbia.edu/CAVE/
• Animal eyes: http://ebiomedia.com/gall/eyes/eye1.html
• Evolution or creation? http://www.answersingenesis.org/creation/v23/i3/lobstereyes.asp
• A lot of software for computer vision is available at http://www.cs.cmu.edu/afs/cs/project/cil/ftp/html/v-source.html.
• A NASA tutorial on remote sensing from space can be found at http://rst.gsfc.nasa.gov/Front/tofc.html.
• A tutorial on image processing using NIH Image (Mac), Scion (PC), and ImageJ is at http://www.nist.gov/lispix/imlab/labs.html. Information on dowloading these systems can be found at http://rsb.info.nih.gov/nih-image/.
• Here are some interesting color illusions: http://www.echalk.co.uk/amusements/OpticalIllusions/colourPerception/colourPerception.html
• It's pretty easy to build a working pinhole camera; a search using Google for "pinhole camera" yielded 697,000 hits, not all of which (I'm sure) are relevant. Here are two that are:
  • The Frugal Photographer site has instructions for making a camera out of a 126 film cartridge (can you even buy these anymore?) - see http://www.frugalphotographer.com/pinhole_camera.htm. So does Bob Miller - see http://www.exploratorium.edu/light_walk/camera_todo.html.
  • Instructions for making the Dirkon paper camera (that uses 35mm film), originally published in a Czech magazine for young kids, can be found at http://www.pinhole.cz/en/pinholecameras/dirkon_01.html. The instruction can also be found in the .pdf document Dirkon Instructions. I've never tried this - if you do, please let me know how it worked and send a couple of pictures if you can.
• Some interesting color illusions: http://www.echalk.co.uk/amusements/OpticalIllusions/colourPerception/colourPerception.html
• A nice review of linear algebra
• Some properties of the Gaussian kernel
• A nice color primer by Fred Bunting.
• Demonstration of the Canny Edge algorithm on an image you provide: http://matlabserver.cs.rug.nl/cgi-bin/matweb.exe. Descriptions of the parameters used can be found at http://matlabserver.cs.rug.nl/cannyedgedetectionweb/web/cannydetection_params.html.