Results 241 to 250 of about 6,822,119 (311)
Some of the next articles are maybe not open access.
Real-Time Point Cloud Object Detection via Voxel-Point Geometry Abstraction
IEEE transactions on intelligent transportation systems (Print), 2023Recent advances in 3D object detection typically learn voxel-based or point-based representations on point clouds. Point-based methods preserve precise point positions but incur high computational load, whereas voxel-based methods rasterize unordered ...
Guang-Hui Shi +3 more
semanticscholar +1 more source
Solving Problems in Point Geometry
Mathematical Olympiad SeriesJingzhong Zhang +4 more
openaire +2 more sources
Geometry-Aware Self-Training for Unsupervised Domain Adaptation on Object Point Clouds
IEEE International Conference on Computer Vision, 2021The point cloud representation of an object can have a large geometric variation in view of inconsistent data acquisition procedure, which thus leads to domain discrepancy due to diverse and uncontrollable shape representation cross datasets.
Longkun Zou, Hui Tang, Ke Chen, K. Jia
semanticscholar +1 more source
The American Mathematical Monthly, 1985
(1985). Geometry Without Points. The American Mathematical Monthly: Vol. 92, No. 10, pp. 707-711.
G. Gerla, R. Volpe
openaire +1 more source
(1985). Geometry Without Points. The American Mathematical Monthly: Vol. 92, No. 10, pp. 707-711.
G. Gerla, R. Volpe
openaire +1 more source
PCGFormer: Lossy Point Cloud Geometry Compression via Local Self-Attention
Visual Communications and Image Processing, 2022Although the multiscale sparse tensor using stacked convolutions has attained noticeable gains for lossy compression of point cloud geometry (PCG), its capability suffers because convolutions with fixed receptive field and fixed weights after training ...
Gexin Liu +3 more
semanticscholar +1 more source
Adaptive Deep Learning-Based Point Cloud Geometry Coding
IEEE Journal on Selected Topics in Signal Processing, 2021Point clouds are a very rich 3D visual representation model, which has become increasingly appealing for multimedia applications with immersion, interaction and realism requirements.
André F. R. Guarda +2 more
semanticscholar +1 more source
Resistive versus ideal plasma response to RMP fields in DIII-D: roles of q95 and X-point geometry
Nuclear Fusion, 2019Toroidal computation of the plasma response to the n = 2 (n is the toroidal mode number) resonant magnetic perturbation field, based on an H-mode plasma in DIII-D, is carried out for the purpose of investigating the role of the ideal versus resistive ...
Xu Yang +7 more
semanticscholar +1 more source
Color and Geometry Texture Descriptors for Point-Cloud Quality Assessment
IEEE Signal Processing Letters, 2021Point Clouds (PCs) have recently been adopted as the preferred data structure for representing 3D visual contents. Examples of Point Cloud (PC) applications range from 3D representations of small objects up to large scenes, both still or dynamic in time.
Rafael Diniz +2 more
semanticscholar +1 more source
Point-Reflection Geometries, Geometric K-Loops and Unitary Geometries
Results in Mathematics, 1997The authors use unitary geometries to show the existence of reflection geometries to which correspond \(K\)-loops with an incidence fibration \(F\) [\textit{E. Zizioli}, J. Geom. 30, 144-156 (1987; Zbl 0632.51019)] where \(F\) consists of proper subloops (other than groups).
Gabrieli, Elisabetta, Karzel, Helmut
openaire +1 more source
Adaptive Geometry Partition for Point Cloud Compression
IEEE transactions on circuits and systems for video technology (Print), 2021Octree (OT) geometry partitioning has been acknowledged as an efficient representation in state-of-the-art point cloud compression (PCC) schemes. In this work, an adaptive geometry partition and coding scheme is proposed to improve the OT based coding ...
Xianguo Zhang, Wen Gao
semanticscholar +1 more source