Abstract
An approach of qualitative optical flow processing for indoor object recognition based on planar attributes is presented. The qualitative processing is performed under hierarchical segmentations of optical flow vectors. The proposed solution for indoor object recognition is undertaken from identifying planar and atilt properties of optical flow images. The advantages of the proposed solutions are the use of much simpler arithmetic to obtain more 3D details about indoor objects.
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