Abstract
A new approach to optic flow calculation based on a well known image interpolation technique is presented. In this approach, the minimization of the squared differences between a second order Taylor expansion of pixel values in an image patch, and its associated pixel values in the next image is used to calculate the optic flow for four degrees of freedom. As a result, two translations, a rotation, and a dilation for every patch can be calculated. The results presented here are obtained without performing any spatial or temporal presmoothing. Therefore, the algorithm is computationally inexpensive and can be implemented in parallel for every single patch. This contributes to more efficient (real-time) implementation of optic flow methods. For the two translations using synthetic images, a similar accuracy is obtained to that reported in the study by Barron et al. (1994).
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