mlsanityData to 7 Oct 2026

Markerless Body Motion Capturing for 3D Character Animation based on Multi-view Cameras

arXiv 2212.05788 ↗First posted 12 Dec 2022cs.CV cs.AIcited by 1

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Abstract (arXiv)

This paper proposes a novel application system for the generation of three-dimensional (3D) character animation driven by markerless human body motion capturing. The entire pipeline of the system consists of five stages: 1) the capturing of motion data using multiple cameras, 2) detection of the two-dimensional (2D) human body joints, 3) estimation of the 3D joints, 4) calculation of bone transformation matrices, and 5) generation of character animation. The main objective of this study is to generate a 3D skeleton and animation for 3D characters using multi-view images captured by ordinary cameras. The computational complexity of the 3D skeleton reconstruction based on 3D vision has been reduced as needed to achieve frame-by-frame motion capturing. The experimental results reveal that our system can effectively and efficiently capture human actions and use them to animate 3D cartoon characters in real-time.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 7 of its 47 references that are in the map. First posted on arXiv 12 Dec 2022.

Builds on

7 of 47 references.

References · 7

  1. 2016Realtime Multi-Person 2D Pose Estimation using Part Affinity Fieldscited by 1,061
  2. 2017VNect: Real-time 3D Human Pose Estimation with a Single RGB Cameracited by 129
  3. 2017Towards 3D Human Pose Estimation in the Wild: a Weakly-supervised Approachcited by 114
  4. 2017Harvesting Multiple Views for Marker-less 3D Human Pose Annotationscited by 48
  5. 2016FlyCap: Markerless Motion Capture Using Multiple Autonomous Flying Camerascited by 23
  6. 2016General Automatic Human Shape and Motion Capture Using Volumetric Contour Cuescited by 15
  7. 2014A Bayesian Framework for Sparse Representation-Based 3D Human Pose Estimationcited by 3

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