Results 41 to 50 of about 7,665,845 (335)
Differentiable surface splatting for point-based geometry processing [PDF]
ACM Transactions on Graphics, 2019 We propose Differentiable Surface Splatting (DSS), a high-fidelity differentiable renderer for point clouds. Gradients for point locations and normals are carefully designed to handle discontinuities of the rendering function.
Yifan Wang +4 more
semanticscholar +1 more source
Edumatika, 2021 Non-Euclidean Geometry is a complex subject for students. It is necessary to analyze the weaknesses of Euclidean geometry to provide a basis for thinking about the need for learning non-Euclidean geometry.
Khathibul Umam Zaid Nugroho +2 more
doaj +1 more source
Homogeneous variational problems: a minicourse [PDF]
, 1999 A Finsler geometry may be understood as a homogeneous variational problem, where the Finsler function is the Lagrangian. The extremals in Finsler geometry are curves, but in more general variational problems we might consider extremal submanifolds of ...
D. J. Saunders +9 more
core +5 more sources
Polylidar3D-Fast Polygon Extraction from 3D Data
Sensors, 2020 Flat surfaces captured by 3D point clouds are often used for localization, mapping, and modeling. Dense point cloud processing has high computation and memory costs making low-dimensional representations of flat surfaces such as polygons desirable.
Jeremy Castagno, Ella Atkins
doaj +1 more source
Geometry of Quantum Projective Spaces [PDF]
, 2012 In recent years, several quantizations of real manifolds have been studied, in particular from the point of view of Connes' noncommutative geometry. Less is known for complex noncommutative spaces.
D'Andrea, Francesco, Landi, Giovanni
core +1 more source
2D Triangulation of Signals Source by Pole-Polar Geometric Models
Sensors, 2019 The 2D point location problem has applications in several areas, such as geographic information systems, navigation systems, motion planning, mapping, military strategy, location and tracking moves.
Aleksandro Montanha +3 more
doaj +1 more source
A Generalized Hausdorff Distance Based Quality Metric for Point Cloud Geometry [PDF]
International Workshop on Quality of Multimedia Experience, 2020 Reliable quality assessment of decoded point cloud geometry is essential to evaluate the compression performance of emerging point cloud coding solutions and guarantee some target quality of experience.
Alireza Javaheri +3 more
semanticscholar +1 more source
A Geometry Feature Aggregation Method for Point Cloud Classification and Segmentation
IEEE Access, 2021 In spite of the good performance of convolutional neural network (CNN) and graph neural network (GNN) in 3D point cloud classification and segmentation at present, to aggregate local information of point clouds and improve the robustness of geometric ...
Yong Wang, Chenke Yue, Xintong Tang
doaj +1 more source
Efficient Large-Scale Point Cloud Geometry Compression
SensorsDue to the significant bandwidth and memory requirements for transmitting and storing large-scale point clouds, considerable progress has been made in recent years in the field of large-scale point cloud geometry compression.
Shiyu Lu, Cheng Han, Huamin Yang
doaj +1 more source
Multiview Differential Geometry of Curves
, 2016 The field of multiple view geometry has seen tremendous progress in reconstruction and calibration due to methods for extracting reliable point features and key developments in projective geometry.
Fabbri, Ricardo, Kimia, Benjamin
core +1 more source