4-Dimensional deformation part model for pose estimation using Kalman filter constraints

The main goal of this article is to analyze the effect on pose estimation accuracy when using a Kalman filter added to 4-dimensional deformation part model partial solutions. The experiments run with two data sets showing that this method improves pose estimation accuracy compared with state-of-the-art methods and that a Kalman filter helps to increase this accuracy.

accuracy analyze art article constraints cs.cv cs.ro data data sets filter part solutions state