Fast Regularity-Constrained Plane Reconstruction

التفاصيل البيبلوغرافية
العنوان: Fast Regularity-Constrained Plane Reconstruction
المؤلفون: Yangbin Lin, Jialian Li, Wang, Cheng, Zhonggui Chen, Zongyue Wang, Li, Jonathan
بيانات النشر: arXiv, 2019.
سنة النشر: 2019
مصطلحات موضوعية: FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition
الوصف: Man-made environments typically comprise planar structures that exhibit numerous geometric relationships, such as parallelism, coplanarity, and orthogonality. Making full use of these relationships can considerably improve the robustness of algorithmic plane reconstruction of complex scenes. This research leverages a constraint model requiring minimal prior knowledge to implicitly establish relationships among planes. We introduce a method based on energy minimization to reconstruct the planes consistent with our constraint model. The proposed algorithm is efficient, easily to understand, and simple to implement. The experimental results show that our algorithm successfully reconstructs planes under high percentages of noise and outliers. This is superior to other state-of-the-art regularity-constrained plane reconstruction methods in terms of speed and robustness.
DOI: 10.48550/arxiv.1905.07922
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::684f8544ee66afa472134e380b2e5939
Rights: OPEN
رقم الانضمام: edsair.doi.dedup.....684f8544ee66afa472134e380b2e5939
قاعدة البيانات: OpenAIRE
الوصف
DOI:10.48550/arxiv.1905.07922