Optical flow estimation from noisy data using differential techniques

Chun-Jen Tsai*, Nikolas P. Galatsanos, Aggelos K. Katsaggelos

*此作品的通信作者

研究成果: Conference article同行評審

12 引文 斯高帕斯(Scopus)

摘要

Many optical flow estimation techniques are based on the differential optical flow equation. These algorithms involve solving over-determined systems of optical flow equations. Least squares (LS) estimation is usually used to solve these systems even though the underlying noise does not conform to the model implied by LS estimation. To ameliorate this problem, work has been done using the total least squares (TLS) method instead. However, the noise model presumed by TLS is again different from the noise present in the system of optical flow equations. A proper way to solve the system of optical flow equation is the constrained total least squares (CTLS) technique. The derivation and analysis of the CTLS technique for optical flow estimation is presented in this paper. It is shown that CTLS outperforms TLS and LS optical flow estimation.

原文English
頁(從 - 到)3393-3396
頁數4
期刊ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
6
DOIs
出版狀態Published - 1 1月 1999
事件Proceedings of the 1999 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-99) - Phoenix, AZ, USA
持續時間: 15 3月 199919 3月 1999

指紋

深入研究「Optical flow estimation from noisy data using differential techniques」主題。共同形成了獨特的指紋。

引用此