Abstract
Accurate and efficient optical flow estimation is a major step in many computational vision problems, including tracking and 2-D/3-D mapping applications. Processing of grayscale images has been the dominant approach, with only a few studies investigating selected aspects in the use of color imagery. In a physics-based analysis to study the impact of the spectral-dependent medium attenuation on the color channels, we have shown merit in the use of color cues in the computation of optical flow for underwater imagery- the primary motivation of the investigation. Comparisons among various color representations and traditional intensity component on the optical flow computation are given, suggesting that the HSV representation could be the most suitable. For both underwater and terrestrial imagery, even where data in the 3 color channels are highly correlated, one expects multiple constraints from color channels to give increased robustness due to the independent channel noises. Results of experiments are given to demonstrate improved localization and accuracy.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2nd International Symposium on 3D Data Processing, Visualization, and Transmission. 3DPVT 2004 |
| Editors | Y. Aloimonos, G. Taubin |
| Pages | 317-324 |
| Number of pages | 8 |
| DOIs | |
| State | Published - Dec 1 2004 |
| Event | Proceedings - 2nd International Symposium on 3D Data Processing, Visualization, and Transmission. 3DPVT 2004 - Thessaloniki, Greece Duration: Sep 6 2004 → Sep 9 2004 |
Other
| Other | Proceedings - 2nd International Symposium on 3D Data Processing, Visualization, and Transmission. 3DPVT 2004 |
|---|---|
| Country | Greece |
| City | Thessaloniki |
| Period | 9/6/04 → 9/9/04 |
Fingerprint
ASJC Scopus subject areas
- Engineering(all)
Cite this
On robustness and localization accuracy of optical flow computation from color imagery. / Madjidi, Hossein; Negahdaripour, Shahriar.
Proceedings - 2nd International Symposium on 3D Data Processing, Visualization, and Transmission. 3DPVT 2004. ed. / Y. Aloimonos; G. Taubin. 2004. p. 317-324.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - On robustness and localization accuracy of optical flow computation from color imagery
AU - Madjidi, Hossein
AU - Negahdaripour, Shahriar
PY - 2004/12/1
Y1 - 2004/12/1
N2 - Accurate and efficient optical flow estimation is a major step in many computational vision problems, including tracking and 2-D/3-D mapping applications. Processing of grayscale images has been the dominant approach, with only a few studies investigating selected aspects in the use of color imagery. In a physics-based analysis to study the impact of the spectral-dependent medium attenuation on the color channels, we have shown merit in the use of color cues in the computation of optical flow for underwater imagery- the primary motivation of the investigation. Comparisons among various color representations and traditional intensity component on the optical flow computation are given, suggesting that the HSV representation could be the most suitable. For both underwater and terrestrial imagery, even where data in the 3 color channels are highly correlated, one expects multiple constraints from color channels to give increased robustness due to the independent channel noises. Results of experiments are given to demonstrate improved localization and accuracy.
AB - Accurate and efficient optical flow estimation is a major step in many computational vision problems, including tracking and 2-D/3-D mapping applications. Processing of grayscale images has been the dominant approach, with only a few studies investigating selected aspects in the use of color imagery. In a physics-based analysis to study the impact of the spectral-dependent medium attenuation on the color channels, we have shown merit in the use of color cues in the computation of optical flow for underwater imagery- the primary motivation of the investigation. Comparisons among various color representations and traditional intensity component on the optical flow computation are given, suggesting that the HSV representation could be the most suitable. For both underwater and terrestrial imagery, even where data in the 3 color channels are highly correlated, one expects multiple constraints from color channels to give increased robustness due to the independent channel noises. Results of experiments are given to demonstrate improved localization and accuracy.
UR - http://www.scopus.com/inward/record.url?scp=16244407419&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=16244407419&partnerID=8YFLogxK
U2 - 10.1109/TDPVT.2004.1335219
DO - 10.1109/TDPVT.2004.1335219
M3 - Conference contribution
AN - SCOPUS:16244407419
SN - 0769522238
SN - 9780769522234
SP - 317
EP - 324
BT - Proceedings - 2nd International Symposium on 3D Data Processing, Visualization, and Transmission. 3DPVT 2004
A2 - Aloimonos, Y.
A2 - Taubin, G.
ER -