Automatic detecting anthropometric landmarks based on spin image

Abstract

In this paper, we present a method to detect anthropometric landmarks on 3D human scans automatically. Our method is a template-based approach, which builds correspondences between instance models and a template model. Spin images are used to construct the similarity measure, which represents the shape features parametrically. A vertex on the instance model will be regarded as the landmark when its similarity measure against a corresponding landmark on the template model is of maximum value. Normal variation and bounding boxes are employed to speed up the comparison of spin images. The algorithm is verified on scanned human bodies with various shapes. Forty-seven landmarks are detected on the instance body. The results show that most landmarks are found accurately. Furthermore, we demonstrate the implementation of using our detected landmarks in automatic body measurement.