First Principles of Computer Vision Specialization

This specialization presents the first comprehensive treatment of the foundations of computer vision. It focuses on the mathematical and physical underpinnings of vision and has been designed for learners, practitioners and researchers who have little or no knowledge of computer vision. The program includes a series of 5 courses. Any learner who completes this specialization has the potential to build a successful career in computer vision, a thriving field that is expected to increase in importance in the coming decades.
WHAT YOU WILL LEARN

  • Master the working principles of a digital camera and learn the fundamentals of imaging processing
  • Create a theory of feature detection and develop algorithms for extracting features from images
  • Explore novel methods for using visual cues (shading, defocus, etc.) to recover the 3D shape of an object from multiple images or viewpoints
  • Get exposed to fundamental perceptions tasks such as image segmentation, object tracking, and object recognition
Filter Courses within "First Principles of Computer Vision Specialization" (Click to filter)
Camera and Imaging (Coursera) Coursera
Columbia University

Camera and Imaging (Coursera)

Embark on a journey through the fascinating world of Camera and Imaging with this expert-led online course. From the historical roots to cutting-edge innovations, you'll explore how imaging technology has evolved over centuries and its profound impact on both photography and computer vision systems. This course is perfect for enthusiasts, students, and professionals looking to deepen their understanding of imaging fundamentals and recent breakthroughs.

Jun 15th 2026
5-12 Weeks
Features and Boundaries (Coursera) Coursera
Columbia University

Features and Boundaries (Coursera)

Explore the critical skill of detecting features and boundaries within images to enhance your understanding and application of vision tasks such as object detection and recognition. This course provides a thorough introduction to various methods used in feature and boundary detection, equipping you with the tools needed for advanced image analysis.

Jun 15th 2026
5-12 Weeks
3D Reconstruction - Multiple Viewpoints (Coursera) Coursera
Columbia University

3D Reconstruction - Multiple Viewpoints (Coursera)

Explore the fascinating world of 3D Reconstruction through Multiple Viewpoints on Coursera. This course dives into the fundamentals of capturing and analyzing 3D scenes using images from various angles. From understanding camera models and calibrating your equipment to mastering simple binocular stereo methods, you'll gain a deep understanding of how to visualize and interpret three-dimensional spaces.

Jun 15th 2026
5-12 Weeks
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