CIS 581: Computer Vision & Computational Photography

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Instructor:
Dr. Jianbo Shi
Office Hours: Tuesday and Thursday 2:00 PM - 3:00 PM | Levine 466
Email: jshi@cis.upenn.edu

Teaching Assistants:
Sai Krishnan Chandrasekar
Office Hours: Monday 5:00 PM - 7:00 PM | Levine 4th Floor GRASP Conference Room
Email: saikrish@seas.upenn.edu

Anvith Ekkati
Office Hours: Monday 5:00 PM - 7:00 PM | Levine 4th Floor GRASP Conference Room
Email: eanvith@seas.upenn.edu

Vivek Venkatram
Office Hours: Tuesday 11:00 AM - 1:00 PM | Levine 4th Floor GRASP Conference Room
Email: vivekv@seas.upenn.edu

Xiao Zhang
Office Hours: Wednesday 5:00 PM - 7:00 PM | Levine 4th Floor GRASP Conference Room
Email: zhang7@seas.upenn.edu

Haoyuan Zhang
Office Hours: Thursday 5:00 PM - 7:00 PM | Levine 4th Floor GRASP Conference Room
Email: haoyuanz@seas.upenn.edu

Location: LRSM Auditorium

Time: Fall 2017, Tuesday & Thursday 3:00 PM - 4:30 PM

Piazza: http://piazza.com/upenn/fall2017/cis581

Canvas: http://canvas.upenn.edu/courses/1377218

edX Course: http://www.edx.org/course/robotics-vision-intelligence-machine-pennx-robo2x

This is an introductory course to computer vision and computational photography. This course will explore four topics: 1) image feature detection, 2) image morphing, 3) image stitching, and 4) deep learning related to images. This course is intended to provide a hands-on experience with interesting things to do on images/pixels.

The world is becoming image-centric. Cameras are now found everywhere: in our cell phones, automobiles, and even in medical surgery tools. In addition, computer vision technology has led to innovations in areas such as movie production, medical diagnosis, biometrics, and digital library.

This course is suited for students with any engineering background who has a basic understanding of linear algebra and programming, along with plenty of imagination.