TY - JOUR
T1 - CopyMe3D
T2 - 35th German Conference on Pattern Recognition, GCPR 2013
AU - Sturm, Jürgen
AU - Bylow, Erik
AU - Kahl, Fredrik
AU - Cremers, Daniel
N1 - Funding Information:
This work has partially been supported by the DFG under contract number FO 180/17-1 in the Mapping on Demand (MOD) project.
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84886380406&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-40602-7_43
DO - 10.1007/978-3-642-40602-7_43
M3 - Conference article
AN - SCOPUS:84886380406
SN - 0302-9743
VL - 8142 LNCS
SP - 405
EP - 414
JO - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
JF - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Y2 - 3 September 2013 through 6 September 2013
ER -