Results 321 to 330 of about 7,600,413 (382)
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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
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
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
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
On commutativity in point-reflection geometries
Journal of Geometry, 1992The article is based on a ``point-reflection geometry''. In particular any two distinct points have a unique common line, through each point passes a unique line out of each class of parallels, and a point- reflection is assigned to each point. Result: If the given geometry is not a plane and all planes are exchange planes then every product of 3 ...
Karzel, Helmut +2 more
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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
Lossy Point Cloud Geometry Compression via Region-Wise Processing
IEEE transactions on circuits and systems for video technology (Print), 2021Point cloud geometry (PCG) is used to precisely represent arbitrary-shaped 3D objects and scenes, is of great interest to vast applications which puts forward the pressing desire of high-efficiency PCG compression for transmission and storage.
Wenjie Zhu +4 more
semanticscholar +1 more source
Journal of Geometry, 1997
The author continues his investigation in Geom. Dedicata 46, No. 1, 47-60 (1993; Zbl 0783.51002) of how geometries can be reconstructed from their automorphism groups. In the paper under review he considers incidence structures \((P,{\mathcal L})\) that admit sharply point transitive groups \(G\) of automorphisms. In this case, \(P\) is identified with
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The author continues his investigation in Geom. Dedicata 46, No. 1, 47-60 (1993; Zbl 0783.51002) of how geometries can be reconstructed from their automorphism groups. In the paper under review he considers incidence structures \((P,{\mathcal L})\) that admit sharply point transitive groups \(G\) of automorphisms. In this case, \(P\) is identified with
openaire +3 more sources