Abstract
This paper presents novel algorithms exploiting multiple camera inputs and segmentation techniques, which can be applied to image fusion, disparity detection and object extraction. Differently focused images, stereo pairs and both of them are used for fusion, disparity detection and object extraction, respectively. Firstly, image fusion is done by segmentation of each image and determination of focused regions per segment. An efficient decision criterion is developed taking a method of auto-focus into consideration. Secondly, disparity detection is executed by recursively applying segmentation and disparity detection per segment. A new clustering criterion is proposed in order to achieve good segmentation and high compression ratio of disparity maps simultaneously. Finally, object extraction is carried out by utilizing both the fusion result and the disparity map. Experiments are carried out, and they show us effectiveness of the proposed algorithms.
| Original language | English |
|---|---|
| Title of host publication | IEEE International Conference on Image Processing |
| Editors | Anon |
| Place of Publication | Los Alamitos, CA, United States |
| Publisher | IEEE |
| Pages | 863-866 |
| Number of pages | 4 |
| Volume | 2 |
| Publication status | Published - 1996 |
| Externally published | Yes |
| Event | Proceedings of the 1996 IEEE International Conference on Image Processing, ICIP'96. Part 2 (of 3) - Lausanne, Switz Duration: 1996 Sep 16 → 1996 Sep 19 |
Other
| Other | Proceedings of the 1996 IEEE International Conference on Image Processing, ICIP'96. Part 2 (of 3) |
|---|---|
| City | Lausanne, Switz |
| Period | 96/9/16 → 96/9/19 |
Fingerprint
ASJC Scopus subject areas
- Computer Vision and Pattern Recognition
- Hardware and Architecture
- Electrical and Electronic Engineering
Cite this
Novel algorithms for object extraction using multiple camera inputs. / Katto, Jiro; Ohta, Mutsumi.
IEEE International Conference on Image Processing. ed. / Anon. Vol. 2 Los Alamitos, CA, United States : IEEE, 1996. p. 863-866.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Novel algorithms for object extraction using multiple camera inputs
AU - Katto, Jiro
AU - Ohta, Mutsumi
PY - 1996
Y1 - 1996
N2 - This paper presents novel algorithms exploiting multiple camera inputs and segmentation techniques, which can be applied to image fusion, disparity detection and object extraction. Differently focused images, stereo pairs and both of them are used for fusion, disparity detection and object extraction, respectively. Firstly, image fusion is done by segmentation of each image and determination of focused regions per segment. An efficient decision criterion is developed taking a method of auto-focus into consideration. Secondly, disparity detection is executed by recursively applying segmentation and disparity detection per segment. A new clustering criterion is proposed in order to achieve good segmentation and high compression ratio of disparity maps simultaneously. Finally, object extraction is carried out by utilizing both the fusion result and the disparity map. Experiments are carried out, and they show us effectiveness of the proposed algorithms.
AB - This paper presents novel algorithms exploiting multiple camera inputs and segmentation techniques, which can be applied to image fusion, disparity detection and object extraction. Differently focused images, stereo pairs and both of them are used for fusion, disparity detection and object extraction, respectively. Firstly, image fusion is done by segmentation of each image and determination of focused regions per segment. An efficient decision criterion is developed taking a method of auto-focus into consideration. Secondly, disparity detection is executed by recursively applying segmentation and disparity detection per segment. A new clustering criterion is proposed in order to achieve good segmentation and high compression ratio of disparity maps simultaneously. Finally, object extraction is carried out by utilizing both the fusion result and the disparity map. Experiments are carried out, and they show us effectiveness of the proposed algorithms.
UR - http://www.scopus.com/inward/record.url?scp=0030401778&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=0030401778&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:0030401778
VL - 2
SP - 863
EP - 866
BT - IEEE International Conference on Image Processing
A2 - Anon, null
PB - IEEE
CY - Los Alamitos, CA, United States
ER -