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LATENT REFERENCES / TAG1

Principles of Motion Capture

This reference note belongs to Tag1 in Latent References, an archive curated by Keigo Yoshida. Its archive region is 3D. The note preserves its source text and links so that readers can trace the material behind the 3D map.

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Tag1
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3D

Archived reference note

English translation of the archived note. JP shows the original text. Source links and literal code are retained; the translation does not update or independently verify the source claims.

https://scrapbox.io/files/64033366722730001bd2ab41.png https://mocap.jp/about-mocap/ 「 Optical systems Applications of optical systems How optical systems work: mechanisms and principles Advantages and disadvantages of optical systems Major manufacturers of optical motion capture systems. Inertial systems Applications of inertial systems How inertial systems work: mechanisms and principles Advantages and disadvantages of inertial systems Major manufacturers of inertial motion capture systems. Video-based (image-based) systems Applications of video-based (image-based) systems How video-based (image-based) systems work: mechanisms and principles Advantages and disadvantages of video-based (image-based) methods. Major manufacturers of video-based (image-based) motion capture systems. Other motion capture systems Magnetic systems Mechanical systems IKinema Orion (VIVE) Kinect 」 #3D

Source updated 2023-06-14 · Snapshot 2026-10-08

Source links and calculated neighbors

Cosine values measure shared lexical features, not truth, agreement or identical meaning. Original reference links are labeled separately.

  • mocopiComputed lexical cosine similarity 0.283 · shared title, text, tags and references
  • IMVUComputed lexical cosine similarity 0.283 · shared title, text, tags and references
  • Z brushComputed lexical cosine similarity 0.283 · shared title, text, tags and references
  • Maxon oneComputed lexical cosine similarity 0.283 · shared title, text, tags and references
  • ScaniverseComputed lexical cosine similarity 0.283 · shared title, text, tags and references
  • Gravity SketchComputed lexical cosine similarity 0.200 · shared title, text, tags and references
  • How to use the motion data (FBX) of Dance x AI “GESREC” in UnityComputed lexical cosine similarity 0.200 · shared title, text, tags and references
  • PhotogrammetryComputed lexical cosine similarity 0.200 · shared title, text, tags and references