Results 21 to 30 of about 5,540,377 (242)
Point Cloud Registration Based on Multiparameter Functional
Mathematics, 2021 The registration of point clouds in a three-dimensional space is an important task in many areas of computer vision, including robotics and autonomous driving.
Artyom Makovetskii +3 more
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Iterative K-Closest Point Algorithms for Colored Point Cloud Registration
Sensors, 2020 We present two algorithms for aligning two colored point clouds. The two algorithms are designed to minimize a probabilistic cost based on the color-supported soft matching of points in a point cloud to their K-closest points in the other point cloud ...
Ouk Choi, Min-Gyu Park, Youngbae Hwang
doaj +1 more source
2.5D Multi-View Gait Recognition Based on Point Cloud Registration [PDF]
, 2014 This paper presents a method for modeling a 2.5-dimensional (2.5D) human body and extracting the gait features for identifying the human subject.
Tjahjadi, Tardi +7 more
core +1 more source
Plane-based registration of construction laser scans with 3D/4D building models [PDF]
, 2012 With the development of building information modelling (BIM) and terrestrial laser scanning (TLS) in the architecture, engineering, construction and facility management (AEC/FM) industry, the registration of site laser scans and project 3D (BIM) models ...
Bosché, Frédéric, Frédéric Bosché
core +1 more source
Sensors, 2023 The challenges of point cloud registration in intelligent vehicle driving lie in the large scale, complex distribution, high noise, and strong sparsity of lidar point cloud data.
Deli Yan +5 more
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Point Cloud Registration using Representative Overlapping Points
CoRR, 2021 3D point cloud registration is a fundamental task in robotics and computer vision. Recently, many learning-based point cloud registration methods based on correspondences have emerged. However, these methods heavily rely on such correspondences and meet great challenges with partial overlap.
Lifa Zhu +6 more
openaire +3 more sources
Disordered Multi-view Registration Method Based on the Soft Trimmed Deep Network [PDF]
Journal of Geodesy and Geoinformation Science, 2023 Compared with the pair-wise registration of point clouds, multi-view point cloud registration is much less studied. In this dissertation, a disordered multi-view point cloud registration method based on the soft trimmed deep network is proposed.
Rui GUO, Yuanlong SONG, Zhengyao WANG
doaj +1 more source
Feature Based Particle Filter Registration of 3D Surface Models and its Application in Robotics [PDF]
, 2013 This work is focused on global registration of surface models such as homogeneous triangle meshes and point clouds. The investigated approach utilizes feature descriptors in order to assign correspondences between the data sets and to reduce complexity ...
Michael Suppa +9 more
core +1 more source
Multi-Feature Registration of Point Clouds [PDF]
Remote Sensing, 2017 Light detection and ranging (LiDAR) has become a mainstream technique for rapid acquisition of 3-D geometry. Current LiDAR platforms can be mainly categorized into spaceborne LiDAR system (SLS), airborne LiDAR system (ALS), mobile LiDAR system (MLS), and terrestrial LiDAR system (TLS).
Tzu-Yi Chuang, Jen-Jer Jaw
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3D point cloud lossy compression using quadric surfaces [PDF]
PeerJ Computer Science, 2021 The presence of 3D sensors in hand-held or head-mounted smart devices has motivated many researchers around the globe to devise algorithms to manage 3D point cloud data efficiently and economically. This paper presents a novel lossy compression technique
Ulfat Imdad +3 more
doaj +2 more sources