1. A method of generating three dimensional body data of a subject; said method comprising: receiving one or more images of the subject from a digital imaging device; partitioning the one or more images into a plurality of segments; analysing the segments of the one or more images to determine the probability that the subject is located in the segment; identifying one or more distributions within the or each partitioned image, each distribution relating to a property of the one or more images; utilising the probabilities and the distributions to produce one or more unique probability maps representing the subject, wherein utilising the probabilities comprises calculating the unique probability that a pixel represents the subject using the equation: p total = p map 2 5 ⁢ ( 0.5 - p Inferred ) where p total is the unique probability that a pixel represents the subject, p map is the probability that a pixel represents a subject and p Inferred is the probability that a pixel represents a subject as calculated from the distribution such that analysis of the unique probability for each pixel allows the production of the unique probability map; comparing the one or more unique probability maps with a database of representations of three dimensional bodies to determine a best mapping between the or each unique probability map and a representation determined from the database; and generating three dimensional body data of the subject based on the best mapping.