姿勢推定arXiv:2402.04953
カルマンフィルタ制約を用いた4次元変形パーツモデルによる姿勢推定
4-Dimensional deformation part model for pose estimation using Kalman filter constraints
4次元変形パーツモデルにカルマンフィルタを組み合わせることで、姿勢推定精度が向上することを示した研究。
著者: Enrique Martinez-Berti, Antonio-Jose Sanchez-Salmeron, Carlos Ricolfe-Viala
分類: cs.CV, cs.RO
原文アブストラクト
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.