Abstract
In this article we propose a novel approach to compute the optical flow directly on log-mapped images. We propose the use of a generalized dynamic image model (GDIM) based method for computing the optical flow as opposed to the brightness constancy model (BCM) based method. We introduce a new notion of “variable window” and use the space-variant form of gradient operator while computing the spatiotemporal gradient in log-mapped images for a better accuracy and to ensure that the local neighborhood is preserved. We emphasize that the proposed method must be numerically accurate, provides a consistent interpretation and is capable of computing the peripheral motion. Experimental results on both the synthetic and real images have been presented to show the efficacy of the proposed method.
This work was partially supported by NSF ITR grant IIS-0081935 and NSF CAREER grant IIS-97-33644.
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Yeasin, M. (2001). Optical Flow in Log-mapped Image Plane. In: Klette, R., Peleg, S., Sommer, G. (eds) Robot Vision. RobVis 2001. Lecture Notes in Computer Science, vol 1998. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-44690-7_31
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DOI: https://doi.org/10.1007/3-540-44690-7_31
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