Results 11 to 20 of about 381,180 (306)

AdaPoinTr: Diverse Point Cloud Completion With Adaptive Geometry-Aware Transformers [PDF]

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
In this paper, we propose a Transformer encoder-decoder architecture, called PoinTr, which reformulates point cloud completion as a set-to-set translation problem and employs a geometry-aware block to model local geometric relationships explicitly.
Xumin Yu, Yongming Rao, Ziyi Wang, Jiwen Lu, Jie Zhou   +4 more
semanticscholar   +3 more sources

Evaluation of Intra-operative Patient-specific Methods for Point Cloud Completion for Minimally Invasive Liver Interventions. [PDF]

Proc SPIE Int Soc Opt Eng
The registration between the pre-operative model and the intra-operative surface is crucial in image-guided liver surgery, as it facilitates the effective use of pre-operative information during the procedure. However, the intraoperative surface, usually
Poudel N, Yang Z, Merrell K, Simon R, Linte CA.   +4 more
europepmc   +2 more sources

Point Cloud Completion Network Based on Multi-Dimensional Adaptive Feature Fusion and Informative Channel Attention Mechanism [PDF]

Sensors
With the continuous advancement of 3D perception technology, point cloud data has found increasingly widespread application. However, the presence of holes in point cloud data caused by device limitations and environmental interference severely restricts
Di Tian, Jiahang Shi, Jiabo Li, Mingming Gong   +3 more
doaj   +2 more sources

A novel point cloud completion model for three-dimensional reconstruction of complex, dynamic population-level crop canopy architecture. [PDF]

Plant Commun
Quantitative characterization of complete canopy architecture is essential for accurate evaluation of crop photosynthesis and yield potential, thereby supporting crop ideotype design.
Guo Z, Yang X, Shen Y, Zhu Y, Jiang L, Cen H.   +5 more
europepmc   +2 more sources

Estimating strawberry weight for grading by picking robot with point cloud completion and multimodal fusion network. [PDF]

Sci Rep
Strawberry grading by picking robots can eliminate the manual classification, reducing labor costs and minimizing the damage to the fruit. Strawberry size or weight is a key factor in grading, with accurate weight estimation being crucial for proper ...
Chen Y, Wang W, Chen J, Deng J, Xiang Y, Qiao B, Zhu X, Li C.   +7 more
europepmc   +2 more sources

Point cloud completion via structured feature maps using a feedback network

Computational Visual Media, 2022
In this paper, we tackle the challenging problem of point cloud completion from the perspective of feature learning. Our key observation is that to recover the underlying structures as well as surface details, given partial input, a fundamental component
Zejia Su, Haibin Huang, Chongyang Ma, Hui Huang, Ruizhen Hu   +4 more
doaj   +2 more sources

Denoising-While-Completing Network (DWCNet): Robust Point Cloud Completion Under Corruption [PDF]

Computers & Graphics
Point cloud completion is crucial for 3D computer vision tasks in autonomous driving, augmented reality, and robotics. However, obtaining clean and complete point clouds from real-world environments is challenging due to noise and occlusions ...
Keneni W. Tesema, Lyndon Hill, Mark W. Jones, Gary K. L. Tam   +3 more
semanticscholar   +3 more sources

Building-PCC: Building Point Cloud Completion Benchmarks [PDF]

ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
With the rapid advancement of 3D sensing technologies, obtaining 3D shape information of objects has become increasingly convenient. Lidar technology, with its capability to accurately capture the 3D information of objects at long distances, has been ...
W. Gao, R. Peters, J. Stoter
doaj   +4 more sources

DFG-PCN: Point Cloud Completion With Degree-Flexible Point Graph

IEEE Transactions on Visualization and Computer Graphics
Point cloud completion is a vital task focused on reconstructing complete point clouds and addressing the incompleteness caused by occlusion and limited sensor resolution.
Zhenyu Shu, Jian Yao, Shiqing Xin
semanticscholar   +3 more sources

FACNet: Feature alignment fast point cloud completion network

Computational Visual Media
Point cloud completion aims to infer complete point clouds based on partial 3D point cloud inputs. Various previous methods apply coarse-to-fine strategy networks for generating complete point clouds.
Xinxing Yu, Jianyi Li, Chi-Chong Wong, Chi-Man Vong, Yanyan Liang   +4 more
doaj   +3 more sources