Abstract
We propose a new system to visualize depth-dependent patterns and images on solid objects with complex geometry using multiple projectors. The system, despite consisting of conventional passive LCD projectors, is able to project different images and patterns depending on the spatial location of the object. The technique is based on the simple principle that multiple patterns projected from multiple projectors interfere constructively with each other when their patterns are projected on the same object. Previous techniques based on the same principle can only achieve (1) low resolution volume colorization or (2) high resolution images but only on a limited number of flat planes. In this paper, we discretize a 3D object into a number of 3D points so that high resolution images can be projected onto the complex shapes. We also propose a dynamic ranges expansion technique as well as an efficient optimization procedure based on epipolar constraints. Such technique can be used to the extend projection mapping to have spatial dependency, which is desirable for practical applications. We also demonstrate the system potential as a visual instructor for object placement and assembling. Experiments prove the effectiveness of our method.
| Original language | English |
|---|---|
| Title of host publication | Computer Vision - 13th Asian Conference on Computer Vision, ACCV 2016, Revised Selected Papers |
| Editors | Ko Nishino, Shang-Hong Lai, Vincent Lepetit, Yoichi Sato |
| Publisher | Springer Verlag |
| Pages | 440-455 |
| Number of pages | 16 |
| ISBN (Print) | 9783319541891 |
| DOIs | |
| Publication status | Published - Jan 1 2017 |
Publication series
| Name | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
|---|---|
| Volume | 10114 LNCS |
| ISSN (Print) | 0302-9743 |
| ISSN (Electronic) | 1611-3349 |
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All Science Journal Classification (ASJC) codes
- Theoretical Computer Science
- Computer Science(all)
Cite this
Simultaneous independent image display technique on multiple 3d objects. / Hirukawa, Takuto; Visentini-Scarzanella, Marco; Kawasaki, Hiroshi; Furukawa, Ryo; Hiura, Shinsaku.
Computer Vision - 13th Asian Conference on Computer Vision, ACCV 2016, Revised Selected Papers. ed. / Ko Nishino; Shang-Hong Lai; Vincent Lepetit; Yoichi Sato. Springer Verlag, 2017. p. 440-455 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10114 LNCS).Research output: Chapter in Book/Report/Conference proceeding › Chapter
}
TY - CHAP
T1 - Simultaneous independent image display technique on multiple 3d objects
AU - Hirukawa, Takuto
AU - Visentini-Scarzanella, Marco
AU - Kawasaki, Hiroshi
AU - Furukawa, Ryo
AU - Hiura, Shinsaku
PY - 2017/1/1
Y1 - 2017/1/1
N2 - We propose a new system to visualize depth-dependent patterns and images on solid objects with complex geometry using multiple projectors. The system, despite consisting of conventional passive LCD projectors, is able to project different images and patterns depending on the spatial location of the object. The technique is based on the simple principle that multiple patterns projected from multiple projectors interfere constructively with each other when their patterns are projected on the same object. Previous techniques based on the same principle can only achieve (1) low resolution volume colorization or (2) high resolution images but only on a limited number of flat planes. In this paper, we discretize a 3D object into a number of 3D points so that high resolution images can be projected onto the complex shapes. We also propose a dynamic ranges expansion technique as well as an efficient optimization procedure based on epipolar constraints. Such technique can be used to the extend projection mapping to have spatial dependency, which is desirable for practical applications. We also demonstrate the system potential as a visual instructor for object placement and assembling. Experiments prove the effectiveness of our method.
AB - We propose a new system to visualize depth-dependent patterns and images on solid objects with complex geometry using multiple projectors. The system, despite consisting of conventional passive LCD projectors, is able to project different images and patterns depending on the spatial location of the object. The technique is based on the simple principle that multiple patterns projected from multiple projectors interfere constructively with each other when their patterns are projected on the same object. Previous techniques based on the same principle can only achieve (1) low resolution volume colorization or (2) high resolution images but only on a limited number of flat planes. In this paper, we discretize a 3D object into a number of 3D points so that high resolution images can be projected onto the complex shapes. We also propose a dynamic ranges expansion technique as well as an efficient optimization procedure based on epipolar constraints. Such technique can be used to the extend projection mapping to have spatial dependency, which is desirable for practical applications. We also demonstrate the system potential as a visual instructor for object placement and assembling. Experiments prove the effectiveness of our method.
UR - http://www.scopus.com/inward/record.url?scp=85016077353&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85016077353&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-54190-7_27
DO - 10.1007/978-3-319-54190-7_27
M3 - Chapter
AN - SCOPUS:85016077353
SN - 9783319541891
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 440
EP - 455
BT - Computer Vision - 13th Asian Conference on Computer Vision, ACCV 2016, Revised Selected Papers
A2 - Nishino, Ko
A2 - Lai, Shang-Hong
A2 - Lepetit, Vincent
A2 - Sato, Yoichi
PB - Springer Verlag
ER -