Webbläsaren som du använder stöds inte av denna webbplats. Alla versioner av Internet Explorer stöds inte längre, av oss eller Microsoft (läs mer här: * https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Var god och använd en modern webbläsare för att ta del av denna webbplats, som t.ex. nyaste versioner av Edge, Chrome, Firefox eller Safari osv.

CopyMe3D: Scanning and Printing Persons in 3D

In English

Författare

  • Jürgen Sturm
  • Erik Bylow
  • Fredrik Kahl
  • Daniel Cremers

Redaktör

  • Joachim Weickert
  • Matthias Hein
  • Bernt Schiele

Summary, in English

In this paper, we describe a novel approach to create 3D miniatures of persons using a Kinect sensor and a 3D color printer. To achieve this, we acquire color and depth images while the person is rotating on a swivel chair. We represent the model with a signed distance function which is updated and visualized as the images are captured for immediate feedback. Our approach automatically fills small holes that stem from self-occlusions. To optimize the model for 3D printing, we extract a watertight but hollow shell to minimize the production costs. In extensive experiments, we evaluate the quality of the obtained models as a function of the rotation speed, the non-rigid deformations of a person

during recording, the camera pose, and the resulting self-occlusions. Finally, we present a large number of reconstructions and fabricated figures to demonstrate the validity of our approach.

Publiceringsår

2013

Språk

Engelska

Sidor

405-414

Publikation/Tidskrift/Serie

Lecture Notes in Computer Science Vol. 8142 (Pattern Recognition, 35th German Conference, GCPR 2013, Saarbrücken, Germany, September 3-6, 2013. Proceedings)

Volym

8142

Dokumenttyp

Konferensbidrag

Förlag

Springer

Ämne

  • Mathematics

Conference name

35th German Conference on Pattern Recognition (GCPR 2013)

Conference date

2013-09-03 - 2013-09-06

Conference place

Saarbrücken, Germany

Status

Published

ISBN/ISSN/Övrigt

  • ISSN: 0302-9743
  • ISSN: 1611-3349
  • ISBN: 978-3-642-40601-0 (print)
  • ISBN: 978-3-642-40602-7 (online)