Computer Vision
3D Reconstruction
Python Programming
Image Processing
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Pixel to Point Cloud: Building a 3D Vision Pipeline

Develop a comprehensive 3D vision pipeline, transforming 2D images into 3D point clouds using Python and computer vision techniques.

Martin Ingvaldsen

Martin Ingvaldsen

Mechanical Engineering Fellow
Organization logo Open Avenues Foundation
Schedule Wednesdays, 5:00 P.M. ET / 2:00 P.M. PT
Duration 8 weeks, 2-3 hours per week
Intermediate Some experience required

Description

Embark on an exciting journey into 3D computer vision, where you'll learn to transform 2D images into fascinating 3D point clouds. This Build Project is designed to introduce you to the world of 3D vision, regardless of your programming background. Over eight interactive workshops, you'll construct a 3D vision pipeline step by step, with all the necessary code structures provided. You'll use Python and Jupyter notebooks, you’ll receive guidance if you're new to these. Each workshop will include prepared code segments where you'll fill in key functions, supported by built-in tests to verify your solutions. You'll explore concepts like camera models, image processing, and stereo vision through hands-on exercises. By the project's end, you'll have contributed to a working 3D reconstruction tool, gaining insights into computer vision, basic Python programming, and 3D data visualization. This project offers a gentle introduction to technologies used in exciting fields like robotics and augmented reality, providing you with a unique learning experience regardless of your starting point.

Application timeline

Applications open April 14, 2025
Applications deadline May 8, 2025
Application results released Week of May 26, 2025
Project start date Week of June 9, 2025
Project end date Week of July 28, 2025

What you will learn

  • Understand the fundamental principles of how computers interpret visual information.
  • Grasp the connection between 2D images and 3D space in computer vision.
  • Explore the mathematical foundations underlying 3D reconstruction from images.
  • Appreciate the challenges and solutions in creating accurate 3D models from 2D data.
  • Recognize the applications and potential of 3D vision in various industries.

Project workshops

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Prerequisites

  • Basic computer literacy, including comfort with using a computer, navigating file systems, and browsing the web.
  • Familiarity with basic mathematical concepts such as high school level algebra and geometry, including coordinates, vectors, and simple equations.
  • Curiosity about computer vision and 3D imaging, with an interest in how computers interpret visual information.
  • Willingness to learn basic programming concepts, including simple Python syntax and logic, even without prior experience.

Apply Now!

Ready to start this exciting project? Submit your application today and begin your journey with Build!

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About the Fellow

Martin Ingvaldsen

Martin Ingvaldsen

Mechanical Engineering Fellow
Organization logo Open Avenues Foundation
LinkedIn Visit Martin's LinkedIn

Martin Ingvaldsen is a Mechanical Engineering Fellow at Open Avenues Foundation based in Silicon Valley, California. He currently works as Head of 3D Vision at UnitX.

New York

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New York, NY 10011

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