CIS 581: Computer Vision & Computational Photography

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Instructor:
Dr. Jianbo Shi
Office Hours:
Email: jshi@cis.upenn.edu

Teaching Assistants:
Kenneth Chaney
Office Hours:
Email: chaneyk@seas.upenn.edu

Chenhao Liu
Office Hours:
Email: liuch13@seas.upenn.edu

Nidhi Sridhar
Office Hours: Wednesday 4:00 - 6:00 pm, Levine 4th floor GRASP Conference Room
Email: nidhi16@seas.upenn.edu

Yulai Weng
Office Hours: Monday 7:00 - 10:00 pm, Levine 4th floor GRASP Bump Open Space
Email: yulai@seas.upenn.edu

Lingzhi Zhang
Office Hours:
Email: zlz@seas.upenn.edu

Location: LRSM Auditorium

Time: Fall 2018, 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.