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🔗 Source: kameda-lab.org
📊 Size: 2.42 MB
👤 Author: Masaaki Iiyama, Yoshinari Kameda, Michihiko Minoh
⬇️ Downloads: 143

Summary

The authors propose a method to estimate the location of joint points in the human body from successive volume data. They represent the human body as an articulate model consisting of rigid parts and joint points. The method involves three steps: extracting rigid parts from two successive volume data, estimating joint points based on the rigid parts, and eliminating false joint points using more successive data. The authors use local shape similarity and rigid transformation constraints to extract rigid parts and estimate joint points. They apply their method to simulated data and correctly estimate the locations of joint points. The method consists of dividing volume data into initial blocks, selecting seed blocks, merging seed blocks into seed regions, and unifying seed regions into seed unions. The authors aim to provide a method for estimating human pose and shape from volume data, which is necessary for various applications such as visualization, human engineering, and biomechanical analysis.

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Description

The authors propose a method to estimate the location of joint points in the human body from successive volume data.

Technical Information

  • File Format: PDF
  • File Size: 2.42 MB
  • Pages: 4
  • Language: EN
  • Author: Masaaki Iiyama, Yoshinari Kameda, Michihiko Minoh
  • Total Downloads: 143
  • Last Updated: 5 hours ago

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