In the second stage we sample every part region with a set of roughly equidistant points and request the annotators to bring these points in correspondence with the surface. We instruct the annotators to estimate the body part behind the clothes, so that for instance wearing a large skirt would not complicate the subsequent annotation of correspondences. ![]() Instead, we construct a two-stage annotation pipeline to efficiently gather annotations for image-to-surface correspondence.Īs shown below, in the first stage we ask annotators to delineate regions corresponding to visible, semantically defined body parts. If done naively, this would require by manipulating a surface through rotations - which can be frustratingly inefficient. ![]() We involve human annotators to establish dense correspondences from 2D images to surface-based representations of the human body.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |