Epipolar Geometry II

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宾夕法尼亚大学
4.4(592 个评分) | 31K 名学生已注册
课程 4(共 6 门,机器人 专项课程
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您将学习的技能

Computer Vision, Estimation, Random Sample Consensus (Ransac), Geometry

审阅

4.4(592 个评分)
  • 5 stars
    60.13%
  • 4 stars
    25.33%
  • 3 stars
    7.93%
  • 2 stars
    4.05%
  • 1 star
    2.53%
SM
Jan 4, 2021

Great course for those who wants to understand how classical SLAM systems work. I think it would be a bit more practical if the assignments were made in python.

LR
Dec 31, 2018

This is quite challenging course. So far, this is the course with the largest amount of material, I wish the class will be split into two courses.

从本节课中
Multi-View Geometry

教学方

  • Placeholder

    Kostas Daniilidis

    Professor of Computer and Information Science
  • Placeholder

    Jianbo Shi

    Professor of Computer and Information Science

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