Di Zhu

2 accepted papers

2024

Low-Rank Completion Based Normal Guided Lidar Point Cloud Up-Sampling

ICASSP 2024accepted

Commercial inexpensive LiDAR sensor generally suffers low vertical resolutions, whose point cloud is sparse and may not be able to satisfy future metaverse applications. LiDAR point cloud up-sampling is a task to increase the vertical resolution while preserving the structural details. Scene represe…

Cited by 0 Source ↗Scholar ↗

2019

Learning Local Feature Descriptor with Motion Attribute For Vision-based Localization

Yafei Song, Di Zhu, Jia Li, Yonghong Tian, Mingyang Li

IROS 2019poster

In recent years, camera-based localization has been widely used for robotic applications, and most proposed algorithms rely on local features extracted from recorded images. For better performance, the features used for open-loop localization are required to be short-term globally static, and the on…

Cited by 4 Source ↗Scholar ↗