A Novel Body Feature Point Extraction Method Based on 2D Image
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Junying Jia, Yan Ma, Hui Huang, and Yuping Zhang
In non-contract anthropometric measurements, the accurate location of body feature points is the basis of body dimension data. The traditional corner based feature point location method may involve errors due to the body shape variations. In this paper, we propose a novel body feature points location method. First, the human body contour is extracted with Otsu algorithm and Canny edge detection algorithm. Then, human height is obtained by horizontal scanning algorithm. Furthermore, we propose the shoulder location algorithm based on shoulder slope and curvature to locate the shoulder points. Finally, the rest body feature points are determined with three factors: the proportional relationship between body parts and height, corners and symmetry of human body contour. The experimental results show that the proposed method can accurately locate the body feature points and solve the issue of the loss of feature points of human waist and chest.
Authropometric measurement, Ostu algorithm, Canny algorithm, shoulder slope, body contour