Results 31 to 40 of about 5,651,580 (291)
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
doaj +1 more source
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
Plane-based Coarse Registration of 3D Point Clouds with 4D Models [PDF]
, 2011 The accurate registration of 3D point clouds with project 3D/4D models is becoming more and more important with the development of BIM and 3D laser scanning, for which the registration in a common coordinate system is critical to project control.
Bosché, Frédéric, Frederic Bosche
core +1 more source
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
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
openaire +2 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
Parallel RANSAC for Point Cloud Registration
Foundations of Computing and Decision Sciences, 2017 In this paper, a project and implementation of the parallel RANSAC algorithm in CUDA architecture for point cloud registration are presented. At the beginning, a serial state of the art method with several heuristic improvements from the literature ...
Koguciuk Daniel
doaj +1 more source
Hierarchical Optimization of 3D Point Cloud Registration
Sensors, 2020 Rigid registration of 3D point clouds is the key technology in robotics and computer vision. Most commonly, the iterative closest point (ICP) and its variants are employed for this task.
Huikai Liu +5 more
doaj +1 more source