4-Dimensional deformation part model for pose estimation using Kalman filter constraints
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2024
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| _version_ | 1866917584512745472 |
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| author | Martinez-Berti, Enrique Sanchez-Salmeron, Antonio-Jose Ricolfe-Viala, Carlos |
| author_facet | Martinez-Berti, Enrique Sanchez-Salmeron, Antonio-Jose Ricolfe-Viala, Carlos |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_04953 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | 4-Dimensional deformation part model for pose estimation using Kalman filter constraints Martinez-Berti, Enrique Sanchez-Salmeron, Antonio-Jose Ricolfe-Viala, Carlos Computer Vision and Pattern Recognition Robotics 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. |
| title | 4-Dimensional deformation part model for pose estimation using Kalman filter constraints |
| topic | Computer Vision and Pattern Recognition Robotics |
| url | https://arxiv.org/abs/2402.04953 |