文章基本信息

标题：An active reconstruction algorithm based on partial prior information
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作者：Yanzi Kong ; Feng Zhu ; Yingming Hao 等
期刊名称：International Journal of Advanced Robotic Systems
印刷版ISSN：1729-8806
电子版ISSN：1729-8814
出版年度：2020
卷号：17
期号：1
页码：1-8
DOI：10.1177/1729881420904203
出版社：SAGE Publications
摘要：Active reconstruction is an intelligent perception method that achieves object modeling with few views and short motion paths by systematically adjusting the parameters of the camera while ensuring model integrity. Part of the object information is always known for vision tasks in real scenes, and it provides some guidance for the view planning. A two-step active reconstruction algorithm based on partial prior information is presented, which includes rough shape estimation phase and complete object reconstruction phase, and both of them introduce the concept of active vision. An information expression method is proposed that can be used to manually initialize the repository according to specific visual tasks, and then the prior information and detected information are used to plan the next best view online until the object reconstruction is completed. The method is evaluated with simulated experiments and the result is compared with other methods.
关键词：Active reconstruction; information gain; partial prior knowledge; rough shape estimation; view planning
其他关键词：Active reconstruction ; information gain ; partial prior knowledge ; rough shape estimation ; view planning