Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
3D registration with maximal cliques
As a fundamental problem in computer vision, 3D point cloud registration (PCR) aims to
seek the optimal pose to align a point cloud pair. In this paper, we present a 3D registration …
seek the optimal pose to align a point cloud pair. In this paper, we present a 3D registration …
Geometric transformer for fast and robust point cloud registration
We study the problem of extracting accurate correspondences for point cloud registration.
Recent keypoint-free methods bypass the detection of repeatable keypoints which is difficult …
Recent keypoint-free methods bypass the detection of repeatable keypoints which is difficult …
Rotation-invariant transformer for point cloud matching
The intrinsic rotation invariance lies at the core of matching point clouds with handcrafted
descriptors. However, it is widely despised by recent deep matchers that obtain the rotation …
descriptors. However, it is widely despised by recent deep matchers that obtain the rotation …
Buffer: Balancing accuracy, efficiency, and generalizability in point cloud registration
An ideal point cloud registration framework should have superior accuracy, acceptable
efficiency, and strong generalizability. However, this is highly challenging since existing …
efficiency, and strong generalizability. However, this is highly challenging since existing …
Geotransformer: Fast and robust point cloud registration with geometric transformer
We study the problem of extracting accurate correspondences for point cloud registration.
Recent keypoint-free methods have shown great potential through bypassing the detection …
Recent keypoint-free methods have shown great potential through bypassing the detection …
Sc2-pcr: A second order spatial compatibility for efficient and robust point cloud registration
In this paper, we present a second order spatial compatibility (SC^ 2) measure based
method for efficient and robust point cloud registration (PCR), called SC^ 2-PCR. Firstly, we …
method for efficient and robust point cloud registration (PCR), called SC^ 2-PCR. Firstly, we …
Robust point cloud registration framework based on deep graph matching
Abstract 3D point cloud registration is a fundamental problem in computer vision and
robotics. Recently, learning-based point cloud registration methods have made great …
robotics. Recently, learning-based point cloud registration methods have made great …
Unsupervised deep probabilistic approach for partial point cloud registration
Deep point cloud registration methods face challenges to partial overlaps and rely on
labeled data. To address these issues, we propose UDPReg, an unsupervised deep …
labeled data. To address these issues, we propose UDPReg, an unsupervised deep …
Lepard: Learning partial point cloud matching in rigid and deformable scenes
Abstract We present Lepard, a Learning based approach for partial point cloud matching in
rigid and deformable scenes. The key characteristics are the following techniques that …
rigid and deformable scenes. The key characteristics are the following techniques that …
RoReg: Pairwise point cloud registration with oriented descriptors and local rotations
We present RoReg, a novel point cloud registration framework that fully exploits oriented
descriptors and estimated local rotations in the whole registration pipeline. Previous …
descriptors and estimated local rotations in the whole registration pipeline. Previous …