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| Auteurs principaux: | , , |
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| Format: | Preprint |
| Publié: |
2024
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| Sujets: | |
| Accès en ligne: | https://arxiv.org/abs/2401.02607 |
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| _version_ | 1866917559313367040 |
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| author | Ye, Yuping Song, Zhan Zhao, Juan |
| author_facet | Ye, Yuping Song, Zhan Zhao, Juan |
| contents | This paper presents a partition-based surface registration for 3D morphable model(3DMM). In the 3DMM, it often requires to warp a handcrafted template model into different captured models. The proposed method first utilizes the landmarks to partition the template model then scale each part and finally smooth the boundaries. This method is especially effective when the disparity between the template model and the target model is huge. The experiment result shows the method perform well than the traditional warp method and robust to the local minima. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_02607 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Partition-based Nonrigid Registration for 3D Face Model Ye, Yuping Song, Zhan Zhao, Juan Computer Vision and Pattern Recognition This paper presents a partition-based surface registration for 3D morphable model(3DMM). In the 3DMM, it often requires to warp a handcrafted template model into different captured models. The proposed method first utilizes the landmarks to partition the template model then scale each part and finally smooth the boundaries. This method is especially effective when the disparity between the template model and the target model is huge. The experiment result shows the method perform well than the traditional warp method and robust to the local minima. |
| title | Partition-based Nonrigid Registration for 3D Face Model |
| topic | Computer Vision and Pattern Recognition |
| url | https://arxiv.org/abs/2401.02607 |