MOTION COMPENSATED PREDICTION OF VISUAL OBJECT USING TRANSFORMATION OF ITS EDGE MAP

摘要

In this paper, we propose a novel motion compensated prediction of visual object by transforming its edge map under the geometrical constraints due to perspective effects and generating the current object texture by linear interpolation. Experimental results show that it gives precise reconstruction.