Paper
18 February 2002 Toward reliable optical flow with subpixel accuracy
Kurt A. Steinkraus
Author Affiliations +
Proceedings Volume 4573, Mobile Robots XVI; (2002) https://doi.org/10.1117/12.457437
Event: Intelligent Systems and Advanced Manufacturing, 2001, Boston, MA, United States
Abstract
When computing optical flow using region-based matching, several problems arise. One is that the optical flow cannot be reliably computed at most locations; particularly troublesome are those with little or no texture. Some confidence measures exist for optical flow, but they either succumb to the aperture problem, or they require that the optical flow be computed, a potentially costly computation with results discarded if unreliable. Another problem is that the normal patch dissimilarity measures do not take image sampling into account, causing the optical flow not to be found in high-contrast areas. I first give an efficient algorithm for determining image locations likely to have reliably correct optical flow. I then derive a patch dissimilarity measure insensitive to image sampling, by extending the work of Birchfield and Tomasi to the computation of two-dimensional optical flow. Finally, I show how to adapt sub-pixel optical flow estimation by quadratic fitting to this new patch dissimilarity measure.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Kurt A. Steinkraus "Toward reliable optical flow with subpixel accuracy", Proc. SPIE 4573, Mobile Robots XVI, (18 February 2002); https://doi.org/10.1117/12.457437
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KEYWORDS
Optical flow

Cameras

Image filtering

Image processing

Mobile robots

Reliability

Solids

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