Application of Visual Correction on Physical Training

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Abstract:

A method is presented for three-dimensional motion posture correction employing Fuzzy kernel estimation and affine transformation. As selecting human moving node by a visual sensor and smoothing single frame image with irregular motion, noise interference is reduced. Based on principles of perspective and affine transformation, adjustment strategy of three-dimensional posture is deduced for irregular single-frame motion picture. In addition to determination of motion picture rotation, accurate correction of irregular single-frame motion picture is proposed. Experimental results show that, under different noise conditions, the algorithm corrects posture of a three-dimensional moving image accurately and presents strong anti-noise performance.

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Advanced Materials Research (Volumes 989-994)

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5461-5463

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July 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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