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Automatic Super-Surface Removal in Complex 3D Indoor Environments Using Iterative Region-Based RANSAC
Removing bounding surfaces such as walls, windows, curtains, and floor (i.e., super-surfaces) from a point cloud is a common task in a wide variety of computer vision applications (e.g., object recognition and human tracking). Popular plane segmentation methods such as Random Sample Consensus (RANSA...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8198504/ https://www.ncbi.nlm.nih.gov/pubmed/34071943 http://dx.doi.org/10.3390/s21113724 |