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Structure from Motion

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May 1, 2024 4 minute read

Structure from Motion (SfM) is a technique used in computer vision to create 3D models of objects or scenes from a set of 2D images. It is a powerful tool that has many applications in fields such as robotics, autonomous driving, and augmented reality. Here is a comprehensive guide to Structure from Motion, including what it is, why one would want to learn it, and how online courses can help you master this technique.

Origins of Structure from Motion

The origins of Structure from Motion can be traced back to the early days of photography. In the 19th century, scientists and artists used a technique called photogrammetry to create 3D models of objects from multiple photographs. Photogrammetry was a time-consuming and labor-intensive process, but it was the only way to create 3D models at the time. Over time, SfM techniques were developed and can now be used to generate 3D models of objects and environments from images and videos.

How Does SfM Work?

SfM works by matching features in a set of images to reconstruct the 3D structure of the scene. The basic steps of SfM are as follows:

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Reading list

We've selected five books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Structure from Motion.
Provides a comprehensive overview of the field of structure from motion, covering both the theoretical foundations and practical algorithms. It is suitable for both beginners and experienced researchers.
Provides a comprehensive overview of structure from motion in computer vision.
Provides a comprehensive overview of structure from motion and multi-view stereo.
Provides a comprehensive overview of computer vision, including a chapter on structure from motion. It is suitable for both beginners and experienced researchers.
Provides a basic introduction to structure from motion.
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