Distance measuring device for human body features and method thereof
First Claim
1. A distance measuring device for human body features, comprising:
- an image capturing unit configured to capture a plurality of groups of human images with at least one part of human body in a time interval;
an image processing unit configured to analyze each group of the human images and recognize a plurality of feature points in each group of the human images, the image processing unit generates three-dimensional coordinates for each feature point; and
a processing unit configured to calculate a distance between a first feature point and a second feature point of each group of the human images according to the three-dimensional coordinates of the first feature point and the second feature point in the feature points, calculate a deflection angle for each group of the human images according to the three-dimensional coordinate of each of the feature points, and generate a weight value corresponding to each distance according to the deflection angle, the processing unit is configured to have a weighted average calculation based on the weight values and the distances to generate a measurement result.
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Abstract
A distance measuring device for human body features is provided. The device comprises: an image capturing unit configured to capture a plurality of groups of human images of at least one part of human body in a time interval; an image processing unit configured to analyze to recognize a plurality of feature points in each group of the human images to generate three-dimensional coordinates for each feature point; and a processing unit configured to calculate a distance between a first feature point and a second feature point, calculate a deflection angle for each group of the human images, and generate a weight value. The processing unit has a weighted average calculation based on the weight values and the distances to generate a measurement result.
25 Citations
15 Claims
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1. A distance measuring device for human body features, comprising:
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an image capturing unit configured to capture a plurality of groups of human images with at least one part of human body in a time interval; an image processing unit configured to analyze each group of the human images and recognize a plurality of feature points in each group of the human images, the image processing unit generates three-dimensional coordinates for each feature point; and a processing unit configured to calculate a distance between a first feature point and a second feature point of each group of the human images according to the three-dimensional coordinates of the first feature point and the second feature point in the feature points, calculate a deflection angle for each group of the human images according to the three-dimensional coordinate of each of the feature points, and generate a weight value corresponding to each distance according to the deflection angle, the processing unit is configured to have a weighted average calculation based on the weight values and the distances to generate a measurement result. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8)
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9. A distance measuring method of human body features, comprising:
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capturing a plurality of groups of human images with at least one part of human body in a time interval; analyzing each group of the human images to recognize a plurality of feature points in the group of the human images; generating three-dimensional coordinates for each feature point; calculating a distance between a first feature point and a second feature point of each group of the human images according to the three-dimensional coordinates of the first feature point and the second feature point in the feature points; calculating a deflection angle for each group of the human images according to the three-dimensional coordinates of each of the feature points; generating a weight value corresponding to each of the distance according to the deflection angle; and having a weighted average calculation based on the weight values and the distances to generate a measurement result of the distance between the first feature point and the second feature point. - View Dependent Claims (10, 11, 12, 13, 14, 15)
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Specification