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| Auteurs principaux: | , |
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| Format: | Preprint |
| Publié: |
2022
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| Sujets: | |
| Accès en ligne: | https://arxiv.org/abs/2209.12101 |
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| _version_ | 1866910582991486976 |
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| author | Jain, Aman Gajendra Chiddarwar, Shital |
| author_facet | Jain, Aman Gajendra Chiddarwar, Shital |
| contents | The coordinate measuring machine(CMM) has been the benchmark of accuracy in measuring solid objects from nearly past 50 years or more. However with the advent of 3D scanning technology, the accuracy and the density of point cloud generated has taken over. In this project we not only compare the different algorithms that can be used in a 3D scanning software, but also create our own 3D scanner from off-the-shelf components like camera and projector. Our objective has been : 1. To develop a prototype for 3D scanner to achieve a system that performs at optimal accuracy over a wide typology of objects. 2. To minimise the cost using off-the-shelf components. 3. To reach very close to the accuracy of CMM. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2209_12101 |
| institution | arXiv |
| publishDate | 2022 |
| record_format | arxiv |
| spellingShingle | 3D Reconstruction using Structured Light from off-the-shelf components Jain, Aman Gajendra Chiddarwar, Shital Computer Vision and Pattern Recognition Graphics The coordinate measuring machine(CMM) has been the benchmark of accuracy in measuring solid objects from nearly past 50 years or more. However with the advent of 3D scanning technology, the accuracy and the density of point cloud generated has taken over. In this project we not only compare the different algorithms that can be used in a 3D scanning software, but also create our own 3D scanner from off-the-shelf components like camera and projector. Our objective has been : 1. To develop a prototype for 3D scanner to achieve a system that performs at optimal accuracy over a wide typology of objects. 2. To minimise the cost using off-the-shelf components. 3. To reach very close to the accuracy of CMM. |
| title | 3D Reconstruction using Structured Light from off-the-shelf components |
| topic | Computer Vision and Pattern Recognition Graphics |
| url | https://arxiv.org/abs/2209.12101 |