Knowledge Commons of Institute of Automation,CAS
High-Quality and Memory-Efficient Volumetric Integration of Depth Maps Using Plane Priors | |
Liu, Yangdong1,2; Gao, Wei1,2; Hu, Zhanyi1,2 | |
2018-08 | |
会议名称 | 2018 24th International Conference on Pattern Recognition (ICPR) |
会议日期 | August 20-24, 2018 |
会议地点 | Beijing, China |
摘要 | Volumetric integration method is widely used to fuse depth maps in dense 3D reconstruction systems. High memory footprint is one of its main disadvantages. We introduce a method to de-noise depth maps and save memory usage during volumetric integration of depth maps with the use of plane priors. We develop a new planar region detection method with the use of depth gradients and then de-noise the planar region of depth maps. During volumetric integration we allocate the voxels and integrate depth maps with the use of plane priors as well. Extensive experiments show that our method saves approximately 30% memory footprint and has higher reconstruction quality compared with some of the current state-of-the-art systems. These characteristics enable our method to be used for 3D scanning on mobile devices which have limited memory resources. |
收录类别 | EI |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/23667 |
专题 | 多模态人工智能系统全国重点实验室_机器人视觉 |
通讯作者 | Gao, Wei |
作者单位 | 1.NLPR, Institute of Automation, Chinese Academy of Sciences 2.University of Chinese Academy of Sciences |
第一作者单位 | 模式识别国家重点实验室 |
通讯作者单位 | 模式识别国家重点实验室 |
推荐引用方式 GB/T 7714 | Liu, Yangdong,Gao, Wei,Hu, Zhanyi. High-Quality and Memory-Efficient Volumetric Integration of Depth Maps Using Plane Priors[C],2018. |
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文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
08545525.pdf(1256KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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