Geometric Multi-Model Fitting by Deep Reinforcement Learning

no code implementations • 22 Sep 2018 • Zongliang Zhang, Hongbin Zeng, Jonathan Li, Yiping Chen, Chenhui Yang, Cheng Wang

This paper deals with the geometric multi-model fitting from noisy, unstructured point set data (e. g., laser scanned point clouds).

Decision Making reinforcement-learning +1

Partial Procedural Geometric Model Fitting for Point Clouds

1 code implementation • 17 Oct 2016 • Zongliang Zhang, Jonathan Li, Yulan Guo, Yangbin Lin, Ming Cheng, Cheng Wang

However, most geometric model fitting methods are unable to fit an arbitrary geometric model (e. g. a surface with holes) to incomplete data, due to that the similarity metrics used in these methods are unable to measure the rigid partial similarity between arbitrary models.