Created by:  University of Pennsylvania

  • Kostas Daniilidis

    Taught by:  Kostas Daniilidis, Professor of Computer and Information Science

    School of Engineering and Applied Science

  • Jianbo Shi

    Taught by:  Jianbo Shi, Professor of Computer and Information Science

    School of Engineering and Applied Science
Basic Info
Course 4 of 6 in the Robotics Specialization.
LevelIntermediate
Commitment4 weeks of study, 3-5 hours/week
Language
English
How To PassPass all graded assignments to complete the course.
User Ratings
4.3 stars
Average User Rating 4.3See what learners said
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Coursework
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Creators
University of Pennsylvania
The University of Pennsylvania (commonly referred to as Penn) is a private university, located in Philadelphia, Pennsylvania, United States. A member of the Ivy League, Penn is the fourth-oldest institution of higher education in the United States, and considers itself to be the first university in the United States with both undergraduate and graduate studies.
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Ratings and Reviews
Rated 4.3 out of 5 of 206 ratings

pretty good for vision based perception

A very good course in general. The materials and assignments are practical and the explanation of the instructors are clear. You are expect to gain a general knowledge about computer vision, camera calibration, and the usage of linear algebra in computer vision.

One thing that could be improved is that there is a big jump from week 2 to week 3 and also from week 3 to week 4. It's like a sophomore course at week 1 and week 2 and suddenly it jumps to a senior course in week 3 and a graduate course in week 4. It might be better to provide some supplementary materials in between.

Loved the lecture and materials. However, the course need more ACTIVE teaching staff and mentors. I had several questions regarding the materials but could not get any help from start to the end. It was the only specialization course that I had to move on without complete understanding of the materials.

Really good course for getting a sound foundation on geometry of computer vision.