Robust procedural model fitting with a new geometric similarity estimator

作者：

Highlights：

• A novel strict and robust similarity estimator is proposed to guide the procedural model fitting.

• A novel early rejection strategy is proposed to accelerate the procedural mode fitting.

• The proposed method outperforms the state-of-the-art method in few-shot recognition.

摘要

•A novel strict and robust similarity estimator is proposed to guide the procedural model fitting.•A novel early rejection strategy is proposed to accelerate the procedural mode fitting.•The proposed method outperforms the state-of-the-art method in few-shot recognition.

论文关键词：Complex model fitting,Imperfect point set,Inverse procedural modeling,Probabilistic program induction,Few-shot pattern recognition

论文评审过程：Received 5 February 2018, Revised 17 May 2018, Accepted 22 July 2018, Available online 24 July 2018, Version of Record 13 August 2018.

论文官网地址：https://doi.org/10.1016/j.patcog.2018.07.027