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Http://hhoppe.com/re Con.pdf

recon.pdf
Preview of http://hhoppe.com/re con.pdf
🔗 Source: hhoppe.com
📊 Size: 562 KB
👤 Author: Hugues Hoppe, Tony DeRose, Tom Duchamp, John McDonald, Werner Stuetzle
⬇️ Downloads: 330

Summary

The algorithm takes an unorganized set of points in 3D space as input and produces a simplicial surface that approximates the unknown manifold. The input points are assumed to be noisy, with an error vector added to each point, and the sampling density is defined as the radius of the sphere that contains at least one sample point. The goal is to determine a surface that approximates the unknown surface using the sample points and information about the sampling process. The algorithm does not assume any structure on the data points and can be used to solve various surface reconstruction problems, including surfaces from range data, surfaces from contours, and interactive surface sketching.

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Description

The algorithm takes an unorganized set of points in 3D space as input and produces a simplicial surface that approximates the unknown manifold.

Technical Information

  • File Format: PDF
  • File Size: 562 KB
  • Pages: 8
  • Language: EN
  • Author: Hugues Hoppe, Tony DeRose, Tom Duchamp, John McDonald, Werner Stuetzle
  • Total Downloads: 330
  • Last Updated: 4 weeks ago

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