Abstract
Depth sensing cameras that can acquire RGB and depth information are being widely used. They can expand and enhance various camera-based applications and are cheap but strong tools for computer human interaction. RGB and depth sensing cameras have quite different key parameters, such as exposure time. We focus on the differences in their motion robustness; the RGB camera has relatively long exposure times while those of ToF (Time-of-flight) based depth sensing camera are relatively short. An experiment on visual tag reading, one typical application, shows that depth sensing cameras can robustly decode moving tags. The proposed technique will yield robust tag reading, indoor localization, and color image stabilization while walking and jogging or even glancing momentarily without requiring any special additional devices.
| Original language | English |
|---|---|
| Title of host publication | UIST 2015 - Adjunct Publication of the 28th Annual ACM Symposium on User Interface Software and Technology |
| Publisher | Association for Computing Machinery, Inc |
| Pages | 51-52 |
| Number of pages | 2 |
| ISBN (Electronic) | 9781450337809 |
| DOIs | |
| Publication status | Published - 2015 Nov 6 |
| Externally published | Yes |
| Event | 28th Annual ACM Symposium on User Interface Software and Technology, UIST 2015 - Charlotte, United States Duration: 2015 Nov 8 → 2015 Nov 11 |
Publication series
| Name | UIST 2015 - Adjunct Publication of the 28th Annual ACM Symposium on User Interface Software and Technology |
|---|
Conference
| Conference | 28th Annual ACM Symposium on User Interface Software and Technology, UIST 2015 |
|---|---|
| Country | United States |
| City | Charlotte |
| Period | 15/11/8 → 15/11/11 |
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Keywords
- Depth sensing camera
- Exposure time
- Visual tag
ASJC Scopus subject areas
- Software
- Computer Graphics and Computer-Aided Design
- Human-Computer Interaction
Cite this
Enhanced motion robustness from ToF-based depth sensing cameras. / Yamada, Wataru; Manabe, Hiroyuki; Inamura, Hiroshi.
UIST 2015 - Adjunct Publication of the 28th Annual ACM Symposium on User Interface Software and Technology. Association for Computing Machinery, Inc, 2015. p. 51-52 (UIST 2015 - Adjunct Publication of the 28th Annual ACM Symposium on User Interface Software and Technology).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Enhanced motion robustness from ToF-based depth sensing cameras
AU - Yamada, Wataru
AU - Manabe, Hiroyuki
AU - Inamura, Hiroshi
PY - 2015/11/6
Y1 - 2015/11/6
N2 - Depth sensing cameras that can acquire RGB and depth information are being widely used. They can expand and enhance various camera-based applications and are cheap but strong tools for computer human interaction. RGB and depth sensing cameras have quite different key parameters, such as exposure time. We focus on the differences in their motion robustness; the RGB camera has relatively long exposure times while those of ToF (Time-of-flight) based depth sensing camera are relatively short. An experiment on visual tag reading, one typical application, shows that depth sensing cameras can robustly decode moving tags. The proposed technique will yield robust tag reading, indoor localization, and color image stabilization while walking and jogging or even glancing momentarily without requiring any special additional devices.
AB - Depth sensing cameras that can acquire RGB and depth information are being widely used. They can expand and enhance various camera-based applications and are cheap but strong tools for computer human interaction. RGB and depth sensing cameras have quite different key parameters, such as exposure time. We focus on the differences in their motion robustness; the RGB camera has relatively long exposure times while those of ToF (Time-of-flight) based depth sensing camera are relatively short. An experiment on visual tag reading, one typical application, shows that depth sensing cameras can robustly decode moving tags. The proposed technique will yield robust tag reading, indoor localization, and color image stabilization while walking and jogging or even glancing momentarily without requiring any special additional devices.
KW - Depth sensing camera
KW - Exposure time
KW - Visual tag
UR - http://www.scopus.com/inward/record.url?scp=84962910973&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84962910973&partnerID=8YFLogxK
U2 - 10.1145/2815585.2817807
DO - 10.1145/2815585.2817807
M3 - Conference contribution
AN - SCOPUS:84962910973
T3 - UIST 2015 - Adjunct Publication of the 28th Annual ACM Symposium on User Interface Software and Technology
SP - 51
EP - 52
BT - UIST 2015 - Adjunct Publication of the 28th Annual ACM Symposium on User Interface Software and Technology
PB - Association for Computing Machinery, Inc
ER -