BILATERAL HUMAN MOTION FILTERING

Human motions are now frequently used in several appli-cations ranging from computer animation to biomechanics analysis. Acquiring such data can be performed in several ways, but none of them is fully accurate and usually a de-noising process is required as post-treatment. This paper presents a new method to process motion data that tends to preserve some characteristic features of human motions. It is based on an adaptation of the well-known bilateral filter to orientation data. We give an algorithm that computes the fil-ter response, and we show practical results obtained on real motion capture data. 1