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Stanford University · Course

Computer Vision: From 3D Reconstruction to Recognition (CS231A)

Computer Vision: From 3D Reconstruction to Recognition (CS231A) is a ten-week Stanford Online graduate course introducing computer vision concepts and applications, mainly geometry and 3D understanding.

Open at Stanford University ↗Common questions

Who it suits

  • Engineers who want the geometric foundations of computer vision.
  • Learners who already know Python, calculus and linear algebra.

What it covers

  • Cameras and projection models.
  • Low-level image processing such as filtering and edge detection, and segmentation and clustering.
  • Shape reconstruction from stereo, depth estimation and optical or scene flow.
  • 6D pose estimation and object tracking.

Before you start

  • Stanford lists a conferred bachelor’s degree with an undergraduate GPA of 3.0 or better.
  • Proficiency in Python and high-level familiarity with C or C++.
  • College calculus and linear algebra.

Common questions about Computer Vision: From 3D Reconstruction to Recognition (CS231A)

How long is it?
Stanford lists 10 weeks at 15 to 25 hours a week, for 4 academic units.
Is it open for enrolment?
Stanford’s page said it was not open when we read it; check the page.
Which certificates count it?
Stanford lists the Visual Computing, Artificial Intelligence and Electrical Engineering graduate certificates.

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Where this comes from

Written from Stanford University’s own pages, read on 2026-10-14. Content, prices and availability change, so the provider’s page is the source. We are not affiliated with Stanford University and this is not an endorsement.