The RBSM is thus able to produce a variety of different breast shapes as independently as possible from the shape of the thorax. This simple yet effective strategy significantly reduces the unwanted variance outside the breast region, leading to better statistical shape models in which breast shapes are quite well decoupled from the thorax. During registration, we use BPMs to align the template to the target as accurately as possible inside the breast region and only roughly outside. A BPM assigns probabilities to each point of a 3D breast scan, telling how likely it is that a particular point belongs to the breast area. To achieve this goal, a novel concept called breast probability masks (BPMs) is introduced. In order to weaken the strong coupling between breast and surrounding areas, we propose to minimize the variance outside the breast region as much as possible. A major challenge when modeling female breasts from surface-only 3D breast scans is the non-separability of breast and thorax.
#Nude boob shapes registration#
Our method is computationally efficient and requires only four landmarks to guide the registration process.
Together with the model, a fully automated, pairwise surface registration pipeline used to establish dense correspondence among 3D breast scans is introduced. We present the Regensburg Breast Shape Model (RBSM)-a 3D statistical shape model of the female breast built from 110 breast scans acquired in a standing position, and the first publicly available.
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