2017
ShapeOdds: Variational Bayesian Learning of Generative Shape Models
CVPR 2017spotlight
Shape models provide a compact parameterization of a class of shapes, and have been shown to be important to a variety of vision problems, including object detection, tracking, and image segmentation. Learning generative shape models from grid-structured representations, aka silhouettes, is usually…