We present results of using Bayesian inference for recovering the 3-D shape and texture of an object based on information extracted from a single 2-D image. We are using a number of different models for specific object classes. The goal is to combine the classes to a hierarchical structure. Instead of searching for the most probable explanation we estimate the entire posterior distribution of t...

Abstract Hailstone growth results in a variety of hailstone shapes. These shapes hold implications for modeling hail processes, fall behaviors including speeds, and remote sensing signatures hail. This study is an in-depth analysis natural shapes, using large dataset hailstones collected the field over 6-yr period. data come from manual measurements with digital calipers three-dimensional infra...