English

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

Computer Vision and Pattern Recognition 2024-02-08 v1 Robotics

Abstract

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.

Keywords

Cite

@article{arxiv.2402.04953,
  title  = {4-Dimensional deformation part model for pose estimation using Kalman filter constraints},
  author = {Enrique Martinez-Berti and Antonio-Jose Sanchez-Salmeron and Carlos Ricolfe-Viala},
  journal= {arXiv preprint arXiv:2402.04953},
  year   = {2024}
}
R2 v1 2026-06-28T14:41:44.503Z