CIS 581: Computer Vision & Computational Photography (UPenn Fall2011)
Computer Vision Central - Posted on December 22, 2011 at 3:35 pm.
This is an introductory course to computer vision and computational photography. This course will explore three topics: 1) image morphing, 2) shape matching, and 3) image search. This course is intended to provide you a hands-on experience with interesting things to do on images/pixels.
The world is becoming image-centric. Camera are now found everywhere, in our cell phones, automobiles, even in medical surgery tools. Computer vision technology has lead to latest innovations in areas such as Hollywood movie production, medical diagnosis, biometrics, and digital library.
This course is suited for students with all Engineering background, who has the basic knowledge of linear algebra and programming, and a lot of imagination.
|Date||Topic||Lecture Notes||Projects||Project Help|
|9/7||Introduction and Image formation and cameras|||
|9/12||Image features, convolution||||Matlab Tutorials|
|9/14||Image features and edge detection||||Project 1|
|9/19||Edge Detection Reviews|||
|9/21||Filters and texture|||
|9/26||Filters and Texture II|||
|9/28||Image geometry and Warping||||Project 1 Due|
|10/3||Image geometry and triangular warping||||Project 2|
|10/5||Triangular Mesh and Linear Algebra Simplified|||
|10/10||Fall Break - No class|
|10/12||Image geometry and thin plate spline warping||slides Paper1Paper2|
|10/17||Guest Lecture - Video Textures|
|10/24||Image features and pyramid||slidesPaper1Paper2||Project 2 Due|
|10/26||Geometric image features and Corners||||Project 3|
|10/31||Geometric image features and RANSAC|||
|11/2||Project 3 Overview|
|11/9||In-class midterm (closed book, 1 sheet of hand written notes)|
|11/14||Introduction to recognition|||
|11/16||Object Recognition: Shape Context|||
|11/21||Object Recognition: Features||||Final Project|
|11/28||Shape Detection by Voting||Slides Object Detection Site/PapersPoslet site/papers|
|11/30||Object Recognition: Pictorial Structure|||
|12/5||Object Detection by voting|||
|12/12||Project presentation, look ahead|
|12/14||Final project presentations (12-3pm)|