Geometric Multi-Model Fitting by Deep Reinforcement Learning
Geometric Multi-Model Fitting by Deep Reinforcement Learning
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Ithaca: Cornell University Library, arXiv.org
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English
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Ithaca: Cornell University Library, arXiv.org
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This paper deals with the geometric multi-model fitting from noisy, unstructured point set data (e.g., laser scanned point clouds). We formulate multi-model fitting problem as a sequential decision making process. We then use a deep reinforcement learning algorithm to learn the optimal decisions towards the best fitting result. In this paper, we ha...
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Geometric Multi-Model Fitting by Deep Reinforcement Learning
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TN_cdi_proquest_journals_2111972881
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2111972881
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E-ISSN
2331-8422
