Learning a Probabilistic Model Mixing 3D and 2D Primitives for View Invariant Object Recognition

This paper presents a method learning mixed templates for view invariant object recognition. The template is composed of 3D and 2D primitives which are stick-like elements defined in 3D and 2D spaces respectively. The primitives are allowed to perturb within a local range to account fo