Abstract
The purpose of this study is to fill holes in 3D scanned body surface data using template matching method. Modern 3D human body scanners can measure the shape and size of human body surface with high speed and great accuracy. Nevertheless these scanners usually can not measure the entire body surface completely, so the resulting 3D original data consist of many holes. The fundamental causes of holes are missing views and grazing angle views. These holes are significant drawbacks of 3D anthropometry. To fill these holes, in the past, two techniques were usually used, namely planar triangulation method and stitching method. These two methods are all very time-consuming and usually exhibit significant distortion.To overcome these problems, this study demonstrate a procedure of filling holes using template matching method, and because the most severe holes in the original data are in the armpit, the crotch and the hand, so they are used as descriptive examples. The template matching is analogue to that women’s legs consist of many scares, the scares are considered as holes, by warring a pant hose stocking, the stocking is shaped and fitted perfectly on the woman’s legs, the holes (scares) were completely covered with stocking. For each gender, four regional templates, the armpit, the crotch, the right hand and the left hand were contracted from display model manikins. All these templates are designated with from 20 to 37 featured points. Similarly, on the original data the same numbers of corresponding control points were identified. Then the template matching method employs affine transformation algorithms to project all the featured points of the template onto the control points of the original data, and them all the meshes on the template as well, as a result the holes on the original data were filled. This method is much preferable than the planar triangulation method and stitching method both in speed and fidelity.