A Local Density Shape Context Algorithm for Point Pattern Matching in Three Dimensional Space
| Autor: | Yizhang Wang, Panpan Cui, You Zhou, Limin Wang, Sen Yang, Xu Zhou |
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| Rok vydání: | 2018 |
| Předmět: | |
| Zdroj: | Tehnički Vjesnik, Vol 25, Iss 3, Pp 813-819 (2018) Tehnički vjesnik Volume 25 Issue 3 |
| ISSN: | 1848-6339 1330-3651 |
| DOI: | 10.17559/tv-20171126053407 |
| Popis: | Three dimensional space point pattern matching technology shows significant usage in many scientific fields. It is a great challenge to match pairwise with rigid transformation in three dimensional space. In this paper, we propose an effect of Local Density Shape Context algorithm (LDSC). In LDSC, the point local density is firstly used for cutting down the negative impacting on extracting the feature descriptor. And the optimization of pairwise matching is firstly used in LDSC for improving the effectiveness. To demonstrate the performance of LDSC, we conduct experiments on synthetic datasets and real world datasets. The experimental results indicate that LDSC outperforms the three compared classical methods in most cases. LDSC is robust to outliers and noise. |
| Databáze: | OpenAIRE |
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