4 papers
A Survey of Deep Learning-based Point Cloud Denoising
Jinxi Wang, Ben Fei, Dasith de Silva Edirimuni +3
Accurate 3D geometry acquisition is essential for a wide range of applications, such as computer graphics, autonomous driving, robotics, and augmented reality. However, raw point c…
Hybrid Long and Short Range Flows for Point Cloud Filtering
Dasith de Silva Edirimuni, Xuequan Lu, Ajmal Saeed Mian +4
Point cloud capture processes are error-prone and introduce noisy artifacts that necessitate filtering/denoising. Recent filtering methods often suffer from point clustering or noi…
A Divide-and-Conquer Approach for Global Orientation of Non-Watertight Scene-Level Point Clouds Using 0-1 Integer Optimization
Zhuodong Li, Fei Hou, Wencheng Wang +2
Orienting point clouds is a fundamental problem in computer graphics and 3D vision, with applications in reconstruction, segmentation, and analysis. While significant progress has…
Object-level Cross-view Geo-localization with Location Enhancement and Multi-Head Cross Attention
Zheyang Huang, Jagannath Aryal, Saeid Nahavandi +4
Cross-view geo-localization determines the location of a query image, captured by a drone or ground-based camera, by matching it to a geo-referenced satellite image. While traditio…