Abstract
This paper introduces a machine vision system, which is suitable for cooperative works between the human and computer. This system provides images inputted from a stereo camera head not only to the processor but also to the user's sight as binocular wide-angle foveated (WAF) information, thus it is applicable for Virtual Reality (VR) systems such as tele-existence or training experts. The stereo camera head plays a role to get required input images foveated by special wide-angle optics under camera view direction control and 3D head mount display (HMD) displays fused 3D images to the user. Moreover, an analog video signal processing device much inspired from a structure of the human visual system realizes a unique way to provide WAF information to plural processors and the user. Therefore, this developed vision system is also much expected to be applicable for the human brain and vision research, because the design concept is to mimic the human visual system. Further, an algorithm to generate features using Discrete Fourier Transform (DFT) for binocular fixation in order to provide well-fused 3D images to 3D HMD is proposed. This paper examines influences of applying this algorithm to space variant images such as WAF images, based on experimental results.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 2005 IEEE International Conference on Robotics and Automation |
| Pages | 793-799 |
| Number of pages | 7 |
| Volume | 2005 |
| DOIs | |
| Publication status | Published - 2005 |
| Externally published | Yes |
| Event | 2005 IEEE International Conference on Robotics and Automation - Barcelona Duration: 2005 Apr 18 → 2005 Apr 22 |
Other
| Other | 2005 IEEE International Conference on Robotics and Automation |
|---|---|
| City | Barcelona |
| Period | 05/4/18 → 05/4/22 |
Fingerprint
Keywords
- 3D HMD
- Binocular fixation
- DFT
- Feature generation
- Fovea
- LGN device
- Stereo matching
- Stereo vision
ASJC Scopus subject areas
- Control and Systems Engineering
- Software
- Artificial Intelligence
- Electrical and Electronic Engineering
Cite this
Machine vision system to induct binocular wide-angle foveated information into both the human and computers - Feature generation algorithm based on DFT for binocular fixation. / Shimizu, Sota; Shimojo, Shinsuke; Hao, Jiang; Burdick, Joel W.
Proceedings of the 2005 IEEE International Conference on Robotics and Automation. Vol. 2005 2005. p. 793-799 1570214.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Machine vision system to induct binocular wide-angle foveated information into both the human and computers - Feature generation algorithm based on DFT for binocular fixation
AU - Shimizu, Sota
AU - Shimojo, Shinsuke
AU - Hao, Jiang
AU - Burdick, Joel W.
PY - 2005
Y1 - 2005
N2 - This paper introduces a machine vision system, which is suitable for cooperative works between the human and computer. This system provides images inputted from a stereo camera head not only to the processor but also to the user's sight as binocular wide-angle foveated (WAF) information, thus it is applicable for Virtual Reality (VR) systems such as tele-existence or training experts. The stereo camera head plays a role to get required input images foveated by special wide-angle optics under camera view direction control and 3D head mount display (HMD) displays fused 3D images to the user. Moreover, an analog video signal processing device much inspired from a structure of the human visual system realizes a unique way to provide WAF information to plural processors and the user. Therefore, this developed vision system is also much expected to be applicable for the human brain and vision research, because the design concept is to mimic the human visual system. Further, an algorithm to generate features using Discrete Fourier Transform (DFT) for binocular fixation in order to provide well-fused 3D images to 3D HMD is proposed. This paper examines influences of applying this algorithm to space variant images such as WAF images, based on experimental results.
AB - This paper introduces a machine vision system, which is suitable for cooperative works between the human and computer. This system provides images inputted from a stereo camera head not only to the processor but also to the user's sight as binocular wide-angle foveated (WAF) information, thus it is applicable for Virtual Reality (VR) systems such as tele-existence or training experts. The stereo camera head plays a role to get required input images foveated by special wide-angle optics under camera view direction control and 3D head mount display (HMD) displays fused 3D images to the user. Moreover, an analog video signal processing device much inspired from a structure of the human visual system realizes a unique way to provide WAF information to plural processors and the user. Therefore, this developed vision system is also much expected to be applicable for the human brain and vision research, because the design concept is to mimic the human visual system. Further, an algorithm to generate features using Discrete Fourier Transform (DFT) for binocular fixation in order to provide well-fused 3D images to 3D HMD is proposed. This paper examines influences of applying this algorithm to space variant images such as WAF images, based on experimental results.
KW - 3D HMD
KW - Binocular fixation
KW - DFT
KW - Feature generation
KW - Fovea
KW - LGN device
KW - Stereo matching
KW - Stereo vision
UR - http://www.scopus.com/inward/record.url?scp=33846158162&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33846158162&partnerID=8YFLogxK
U2 - 10.1109/ROBOT.2005.1570214
DO - 10.1109/ROBOT.2005.1570214
M3 - Conference contribution
AN - SCOPUS:33846158162
SN - 078038914X
SN - 9780780389144
VL - 2005
SP - 793
EP - 799
BT - Proceedings of the 2005 IEEE International Conference on Robotics and Automation
ER -