1. Partial Alignment of Data Sets Based on Fast Intrinsic Feature Match
- Author
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Naiwu Wen, Yaxin Peng, Xiaohuang Zhu, and Chaomin Shen
- Subjects
Computer science ,Histogram ,Feature extraction ,0211 other engineering and technologies ,0202 electrical engineering, electronic engineering, information engineering ,Iterative closest point ,020201 artificial intelligence & image processing ,02 engineering and technology ,Invariant (mathematics) ,Algorithm ,Statistic ,021101 geological & geomatics engineering ,Shape analysis (digital geometry) - Abstract
Point Feature Histograms (PFH) is a statistic and geometric invariant descriptor that has been widely used in shape analysis. Current PFH based feature extraction methods are highly affected by the time scale and become less effective for unbalanced cases, which limits their performance. In this paper, we focus on finding a framework for partial registration by an adaptive partition of point set algorithm. Firstly, we propose an adaptive partition method base on PFH coding. Secondly, we conduct a series of fast parallel implementations for efficiency. Thirdly, we plug in the PFH based partition method and trimmed strategy to our modified iterative closest point method. Experiments demonstrate that our algorithms are robust and stable.
- Published
- 2019