Capturing the variability of fruit is useful in many ways, such as object detection and shape prediction. A statistical shape model is useful to predict the final size of a fruit, search for a correlation between stages of growth, or to estimate the volume of the fruit. Fruit package designers may use the shape model to evaluate the effect of the fruit on airflow characteristics and thus cooling uniformity.
The human body is a complex shape with many variations of which a thorough understanding is needed in order to design wearable products, like protective gear, head-sets, sports clothing, and orthotics, that are both functional and ergonomic. Current design approaches, relying only on 1D anthropometry and unrealistic, linearly scaled ISO-mannequins, require many prototyping and testing iterations. With the uprising of 3D scanning technology, however, an enormous amount of 3D data becomes available for the product developer.