On robustness and localization accuracy of optical flow computation from color imagery

Hossein Madjidi, Shahriar Negahdaripour

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

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 languageEnglish
Title of host publicationProceedings - 2nd International Symposium on 3D Data Processing, Visualization, and Transmission. 3DPVT 2004
EditorsY. Aloimonos, G. Taubin
Pages317-324
Number of pages8
DOIs
StatePublished - Dec 1 2004
EventProceedings - 2nd International Symposium on 3D Data Processing, Visualization, and Transmission. 3DPVT 2004 - Thessaloniki, Greece
Duration: Sep 6 2004Sep 9 2004

Other

OtherProceedings - 2nd International Symposium on 3D Data Processing, Visualization, and Transmission. 3DPVT 2004
CountryGreece
CityThessaloniki
Period9/6/049/9/04

Fingerprint

Optical flows
Color
Physics
Processing
Experiments

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Madjidi, H., & Negahdaripour, S. (2004). On robustness and localization accuracy of optical flow computation from color imagery. In Y. Aloimonos, & G. Taubin (Eds.), Proceedings - 2nd International Symposium on 3D Data Processing, Visualization, and Transmission. 3DPVT 2004 (pp. 317-324) https://doi.org/10.1109/TDPVT.2004.1335219

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 proceedingConference contribution

Madjidi, H & Negahdaripour, S 2004, On robustness and localization accuracy of optical flow computation from color imagery. in Y Aloimonos & G Taubin (eds), Proceedings - 2nd International Symposium on 3D Data Processing, Visualization, and Transmission. 3DPVT 2004. pp. 317-324, Proceedings - 2nd International Symposium on 3D Data Processing, Visualization, and Transmission. 3DPVT 2004, Thessaloniki, Greece, 9/6/04. https://doi.org/10.1109/TDPVT.2004.1335219
Madjidi H, Negahdaripour S. On robustness and localization accuracy of optical flow computation from color imagery. In Aloimonos Y, Taubin G, editors, Proceedings - 2nd International Symposium on 3D Data Processing, Visualization, and Transmission. 3DPVT 2004. 2004. p. 317-324 https://doi.org/10.1109/TDPVT.2004.1335219
Madjidi, Hossein ; Negahdaripour, Shahriar. / On robustness and localization accuracy of optical flow computation from color imagery. Proceedings - 2nd International Symposium on 3D Data Processing, Visualization, and Transmission. 3DPVT 2004. editor / Y. Aloimonos ; G. Taubin. 2004. pp. 317-324
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