Abstract
We present a system for accurate reconstruction of a complex face model using only a moving low-cost depth camera and optimization algorithm. In this paper, we introduce a method to minimize the error of the depth images on the signed distance function (SDF). As the signed distance function contains the distances to the surface for each voxel, the camera coordinate estimation can be carried out rapidly with Levenberg–Marquardt that uses the camera pose and the preprocess data in the voxel grid. With this proposed method, a detailed reconstruction of an object can be achieved.
| Original language | English |
|---|---|
| Pages (from-to) | 3422-3425 |
| Number of pages | 4 |
| Journal | Advanced Science Letters |
| Volume | 22 |
| Issue number | 11 |
| DOIs | |
| Publication status | Published - 2016 Nov 1 |
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All Science Journal Classification (ASJC) codes
- Computer Science(all)
- Health(social science)
- Mathematics(all)
- Education
- Environmental Science(all)
- Engineering(all)
- Energy(all)
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Surface reconstruction using the rapid segmentation and optimization method. / Song, Eungyeol; Lee, Sang Youn; Yu, Sunjin.
In: Advanced Science Letters, Vol. 22, No. 11, 01.11.2016, p. 3422-3425.Research output: Contribution to journal › Article
TY - JOUR
T1 - Surface reconstruction using the rapid segmentation and optimization method
AU - Song, Eungyeol
AU - Lee, Sang Youn
AU - Yu, Sunjin
PY - 2016/11/1
Y1 - 2016/11/1
N2 - We present a system for accurate reconstruction of a complex face model using only a moving low-cost depth camera and optimization algorithm. In this paper, we introduce a method to minimize the error of the depth images on the signed distance function (SDF). As the signed distance function contains the distances to the surface for each voxel, the camera coordinate estimation can be carried out rapidly with Levenberg–Marquardt that uses the camera pose and the preprocess data in the voxel grid. With this proposed method, a detailed reconstruction of an object can be achieved.
AB - We present a system for accurate reconstruction of a complex face model using only a moving low-cost depth camera and optimization algorithm. In this paper, we introduce a method to minimize the error of the depth images on the signed distance function (SDF). As the signed distance function contains the distances to the surface for each voxel, the camera coordinate estimation can be carried out rapidly with Levenberg–Marquardt that uses the camera pose and the preprocess data in the voxel grid. With this proposed method, a detailed reconstruction of an object can be achieved.
UR - http://www.scopus.com/inward/record.url?scp=85013414573&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85013414573&partnerID=8YFLogxK
U2 - 10.1166/asl.2016.7894
DO - 10.1166/asl.2016.7894
M3 - Article
AN - SCOPUS:85013414573
VL - 22
SP - 3422
EP - 3425
JO - Advanced Science Letters
JF - Advanced Science Letters
SN - 1936-6612
IS - 11
ER -