Fast Measurement of Human Face and Disposal of Measured Points

A fast measurement method of human face and a data disposal algorithm to filter noise in the measured points of human face are proposed in this paper. The components and working principle of the measurement system are first analyzed, which uses double CCD (charge coupled device) and line laser as the measurement devices to improve the measuring speed and avoid the measuring blind zone. Then the fuzzy weighted average filtering algorithm is introduced to filter noise in the measured data. Different from the average and median filtering algorithms, the algorithm proposed uses fuzzy membership idea to optimize the weights of the neighboring points by iteration method and achieves a better filtering effect. The effectiveness of the measurement system and the filtering method are verified through the measurement of a human face and comparison between the disposal results of the proposed method and other methods