Space variant filtering of optic flow for robust three dimensional motion estimation
نویسندگان
چکیده
We test a biologically motivated filtering method [9] for noise decreasing in optical flow fields. We use the task of heading detection from optic flow as a way to estimate improvements of flow fields generated by a standard algorithm. The image sequences which we use for the testing are directly calculated from three dimensional real world data assuming a given self motion. Thus we retain the control about the exact heading and rotation and have ground truth. Not surprisingly, due to the noise and the aperture problem the results for the raw flows are often incorrect. In contrast the filtered flows allow correct heading detection.
منابع مشابه
Biologically motivated space-variant filtering for robust optic flow processing.
We describe and test a biologically motivated space-variant filtering method for decreasing the noise in optic flow fields. Our filter model adopts certain properties of a particular motion-sensitive area of the brain (area MT), which averages the incoming motion signals over receptive fields, the sizes of which increase with the distance from the center of the projection. We use heading estima...
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