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It has been argued in recent work that correlation filters are attractive for human action recognition from videos. Motivation for their employment in this classification task lies in their ability to: (i) specify where the filter should peak in contrast to all other shifts in space and time, (ii) have some degree of tolerance to noise and intra-class variation (allowing learning from multiple examples),...
This paper presents an enhanced robust phase correlation (ERPC) method for sub-pixel disparity estimation together with a package of refinement techniques for DEM generation. The multi-scale ERPC algorithm can cope with very large disparity measurement on the one hand and improve sub-pixel accuracy by entirely avoiding the ill-posed problem of 2D phase unwrapping on the other. Recognizing the inherent...
Currently, manual labor is used in the thinning of fruit for ensuring a high yield of marketable fruits. This paper presents ongoing research using a correlation-based stereo vision approach to automated thinning of peach blossoms on perpendicular `V' architecture trees. To this end a calibrated camera system has been designed using three synchronized ten Mpixel cameras and flash illumination. A total...
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