Body measurement
First Claim
Patent Images
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;
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Abstract
A method of generating three dimensional body data of a subject is described. The method includes capturing one or more images of the subject using a digital imaging device and generating three dimensional body data of the subject based on the one or more images.
17 Citations
31 Claims
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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; - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17)
- said method comprising;
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18. 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; blurring the edges of the one or more unique probability maps to compensate for variable line sharpness to produce a boundary of uncertain pixels; identifying the gradient of the edges of the one or more unique probability maps to determine the direction of the subject at each uncertain pixel to produce a corresponding vectored outline probability map; and applying the vectored outline probability map to the image to determine points with the highest contrast; and identifying, at said point of highest contrast, a boundary pixel located on the edge of the subject; comparing the colour of the boundary pixel with the colours of neighbouring pixels to determine from the intensities a true boundary position of the subject with sub-pixel resolution using;
b=1−
(cB−
cA)/(cC−
cA), where b is an adjustment value added to the boundary pixel to determine the true boundary position of the subject, cB is the intensity of the current pixel, cA is the intensity of the previous pixel along the vector and cC is the intensity of the next pixel along the vector. - View Dependent Claims (19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31)
- said method comprising;
Specification