Partial-to-Partial Point Generation Network for Point Cloud Completion
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3210300
Abstract: Point cloud completion aims at predicting dense complete 3D shapes from sparse incomplete point clouds captured from 3D sensors or scanners. It plays an essential role in various applications such as autonomous driving, 3D reconstruction,… read more here.
Keywords: point cloud; cloud completion; partial point; point ... See more keywords
BoNuS: Boundary Mining for Nuclei Segmentation With Partial Point Labels
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Medical Imaging"
DOI: 10.1109/tmi.2024.3355068
Abstract: Nuclei segmentation is a fundamental prerequisite in the digital pathology workflow. The development of automated methods for nuclei segmentation enables quantitative analysis of the wide existence and large variances in nuclei morphometry in histopathology images.… read more here.
Keywords: segmentation; nuclei segmentation; point labels; boundary mining ... See more keywords
STORM: Structure-Based Overlap Matching for Partial Point Cloud Registration
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Pattern Analysis and Machine Intelligence"
DOI: 10.1109/tpami.2022.3148308
Abstract: Partial point cloud registration aims to transform partial scans into a common coordinate system. It is an important preprocessing step to generate complete 3D shapes. Although previous registration methods have made great progress in recent… read more here.
Keywords: cloud registration; point cloud; registration; storm ... See more keywords