Results 131 to 140 of about 163,322 (181)

RoReg: Pairwise Point Cloud Registration With Oriented Descriptors and Local Rotations

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
We present RoReg, a novel point cloud registration framework that fully exploits oriented descriptors and estimated local rotations in the whole registration pipeline.
Haiping Wang, Yuan Liu, Qingyong Hu, Bing Wang, Jianguo Chen, Zhen Dong, Yulan Guo, Wenping Wang, Bisheng Yang   +8 more
semanticscholar   +1 more source

SACF-Net: Skip-Attention Based Correspondence Filtering Network for Point Cloud Registration

IEEE transactions on circuits and systems for video technology (Print), 2023
Rigid registration is a transformation estimation problem between two point clouds. The two point clouds captured may partially overlap owing to different viewpoints and acquisition times.
Yue Wu, Xidao Hu, Yue-qing Zhang, Maoguo Gong, Wenping Ma, Q. Miao   +5 more
semanticscholar   +1 more source

PointNetLK: Robust & Efficient Point Cloud Registration Using PointNet

Computer Vision and Pattern Recognition, 2019
PointNet has revolutionized how we think about representing point clouds. For classification and segmentation tasks, the approach and its subsequent variants/extensions are considered state-of-the-art.
Yasuhiro Aoki, Hunter Goforth, Rangaprasad Arun Srivatsan, S. Lucey   +3 more
semanticscholar   +1 more source

Colored Point Cloud Registration Revisited

2017 IEEE International Conference on Computer Vision (ICCV), 2017
We present an algorithm for aligning two colored point clouds. The key idea is to optimize a joint photometric and geometric objective that locks the alignment along both the normal direction and the tangent plane. We extend a photometric objective for aligning RGB-D images to point clouds, by locally parameterizing the point cloud with a virtual ...
Jaesik Park, Qian-Yi Zhou, Vladlen Koltun   +2 more
openaire   +1 more source

BUFFER: Balancing Accuracy, Efficiency, and Generalizability in Point Cloud Registration

Computer Vision and Pattern Recognition, 2023
An ideal point cloud registration framework should have superior accuracy, acceptable efficiency, and strong generalizability: However, this is highly challenging since existing registration techniques are either not accurate enough, far from efficient ...
Sheng Ao, Qingyong Hu, Hanyun Wang, Kaiyang Xu, Yulan Guo   +4 more
semanticscholar   +1 more source

Evolutionary Multitasking Descriptor Optimization for Point Cloud Registration

IEEE Transactions on Evolutionary Computation
Point cloud registration (PCR) is an important task for other point cloud tasks. Feature-based methods are widely adopted for their speed and efficiency in PCR. The descriptive capability of features extracted by a single geometric descriptor is limited.
Yue Wu, Jinlong Sheng, Han-Yan Ding, P. Gong, Hao Li, Maoguo Gong, Wenping Ma, Qiguang Miao   +7 more
semanticscholar   +1 more source

Discriminative Correspondence Estimation for Unsupervised RGB-D Point Cloud Registration

IEEE transactions on circuits and systems for video technology (Print)
Point cloud registration is a fundamental task for estimating the rigid transformation matrix between two point clouds, and is regarded as a prerequisite for downstream vision tasks.
Chenbo Yan, Mingtao Feng, Zijie Wu, Yulan Guo, Weisheng Dong, Yaonan Wang, A. Mian   +6 more
semanticscholar   +1 more source

Application of Improved Point Cloud Streamlining Algorithm in Point Cloud Registration

2020 Chinese Control And Decision Conference (CCDC), 2020
Collect point cloud data of objects with commonly used 3D scanning equipment, the resulting point cloud data is huge. Traditional point cloud registration algorithms cannot guarantee both efficiency and accuracy. To this end, combining octree-based K-means clustering point cloud streamlining algorithm with an ICP algorithm with improved weight ratio ...
Liu Meiju, Zhao Junrui, Guo Xifeng, Zhuang Rui   +3 more
openaire   +1 more source

Multiview Point Cloud Registration Based on Minimum Potential Energy for Free-Form Blade Measurement

IEEE Transactions on Instrumentation and Measurement
Point cloud registration is an essential step for free-form blade reconstruction in industrial measurement. Nonetheless, measuring defects of the 3-D acquisition system unavoidably result in noisy and incomplete point cloud data, which renders efficient ...
Zijie Wu, Yaonan Wang, Yang Mo, Qing Zhu, He-ping Xie, Haotian Wu, Mingtao Feng, Ajmal Saeed Mian   +7 more
semanticscholar   +1 more source

Evolutionary Multiform Optimization With Two-Stage Bidirectional Knowledge Transfer Strategy for Point Cloud Registration

IEEE Transactions on Evolutionary Computation
Point cloud registration is an important task in computer vision, where the goal is to estimate a transformation to align a pair of point clouds. Most of the existing registration methods face the problems of poor robustness and getting stuck in local ...
Yue Wu, Han-Yan Ding, Maoguo Gong, A. K. Qin, Wenping Ma, Q. Miao, K. Tan   +6 more
semanticscholar   +1 more source