Sensors (Basel, Switzerland)

[1] Efficient CORDIC Iteration Design of LiDAR Sensors' Point-Cloud Map Reconstruction Technology.

[2] Accuracy and Resolution of Kinect Depth Data for Indoor Mapping Applications

[3] Building Change Detection from Bi-Temporal Dense-Matching Point Clouds and Aerial Images

[4] Polylidar3D-Fast Polygon Extraction from 3D Data

[5] characterizing the height structure and composition of a boreal forest using an individual tree crown approach applied to photogrammetric point clouds

[6] estimation of tree stem attributes using terrestrial photogrammetry with a camera rig

[7] laser scanning and data integration for three-dimensional digital recording of complex historical structures: the case of mevlana museum

[8] a spectral-texture kernel-based classification method for hyperspectral images

[9] rapid prototyping — a tool for presenting 3-dimensional digital models produced by terrestrial laser scanning

[10] From the elaboration process of point cloud to information systems both for planning and design management of cultural heritage

[11] Estimation of gait normality index based on point clouds through deep auto-encoder

[12] Fusing Sentinel-2 Imagery and ALS Point Clouds for Defining LULC Changes on Reclaimed Areas by Afforestation

[13] Accurate extraction of brick shapes in masonry walls from dense terrestrial laser scanning point cloud

[14] Photogrammetric wireframe and dense point cloud 3d modelling of historical structures: The study of sultan selim mosque and yusuf aga library in konya, Turkey

[15] Automatic Indoor Reconstruction from Point Clouds in Multi-room Environments with Curved Walls.

[16] CURB-BASED STREET FLOOR EXTRACTION FROM MOBILE TERRESTRIAL LIDAR POINT CLOUD

[17] On-Site 4-in-1 Alignment: Visualization and Interactive CAD Model Retrofitting Using UAV, LiDAR's Point Cloud Data, and Video.

[18] Fast Method of Registration for 3D RGB Point Cloud with Improved Four Initial Point Pairs Algorithm.

[19] Point Siamese Network for Person Tracking Using 3D Point Clouds.

[20] The First Quantum Co-processor Hybrid for Processing Quantum Point Cloud Multimodal Sensor Data

[21] Optimizing wireless sensor network installations by visibility analysis on 3d point clouds

[22] End-to-end sensor modeling for LiDAR Point Cloud

[23] LATTE: Accelerating LiDAR Point Cloud Annotation via Sensor Fusion, One-Click Annotation, and Tracking

[24] Road pothole extraction and safety evaluation by integration of point cloud and images derived from mobile mapping sensors

[25] Three-dimensional point cloud reconstruction and morphology measurement method for greenhouse plants based on the Kinect sensor self-calibration

[26] A robust statistics approach for plane detection in unorganized point clouds

[27] 3D Point Cloud Denoising Using Graph Laplacian Regularization of a Low Dimensional Manifold Model.

[28] Classification of 3D Point Clouds Using Color Vegetation Indices for Precision Viticulture and Digitizing Applications

[29] Improved Iterative Closest Point(ICP) 3D point cloud registration algorithm based on point cloud filtering and adaptive fireworks for coarse registration

[30] Object-based incremental registration of terrestrial point clouds in an urban environment

[31] Graph-matching-based correspondence search for nonrigid point cloud registration

[32] Robust point cloud registration based on topological graph and Cauchy weighted l<inf>q</inf>-norm

[33] Pyramid scene parsing network in 3D: Improving semantic segmentation of point clouds with multi-scale contextual information

[34] FUSION OF FEATURE BASED AND DEEP LEARNING METHODS FOR CLASSIFICATION OF MMS POINT CLOUDS

[35] Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds.

[36] PLIN: A Network for Pseudo-LiDAR Point Cloud Interpolation.

[37] From Points to Parts: 3D Object Detection from Point Cloud with Part-aware and Part-aggregation Network.

[38] A geometry-attentional network for ALS point cloud classification

[39] Feature fusion network based on attention mechanism for 3D semantic segmentation of point clouds

[40] PointTrackNet: An End-to-End Network for 3-D Object Detection and Tracking from Point Clouds

[41] Directionally constrained fully convolutional neural network for airborne LiDAR point cloud classification

[42] A Panoramic Segmentation Network for Point Cloud

[43] Building Change Detection from Bi-Temporal Dense-Matching Point Clouds and Aerial Images

[44] continuous extraction of subway tunnel cross sections based on terrestrial point clouds

[45] scene-layout compatible conditional random field for classifying terrestrial laser point clouds

[46] characterizing the height structure and composition of a boreal forest using an individual tree crown approach applied to photogrammetric point clouds

[47] point cloud registration and virtual realization of large scale and more complex historical structures

[48] fast registration method for point clouds using the image information

[49] hierarchical threshold adaptive for point cloud filter algorithm of moving surface fitting

[50] morphological pdes on graphs for image processing on surfaces and point clouds

[51] spherical projection based straight line segment extraction for single station terrestrial laser point cloud

[52] automatic registration of low altitude uav sequent images and laser point clouds

[53] individual tree segmentation from lidar point clouds for urban forest inventory

[54] underwater matching correction navigation based on geometric features using sonar point cloud data

[55] random forest method for dimension reduction and point cloud classification based on airborne lidar

[56] an automatic tree skeleton extracting method based on point cloud of terrestrial laser scanner

[57] Reconstruction of Complex Roof Semantic Structures from 3D Point Clouds Using Local Convexity and Consistency