A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Filters
Guest Editorial Introduction to the Special Issue on Recent Advances in Point Cloud Processing and Compression
2021
IEEE transactions on circuits and systems for video technology (Print)
Preserved Fulltext
POINT CLOUD COMPRESSION Zhang and Gao [A1] propose an adaptive geometry partition and coding scheme to improve the point cloud compression efficiency. ...
It includes 340 distorted point clouds using MPEG point cloud compression. The impact of compression on geometry and texture attributes is then investigated. ...
doi:10.1109/tcsvt.2021.3129071
fatcat:hw6chtchp5dzbacriqj7k4tz7q
Subjective performance evaluation of bitrate allocation strategies for MPEG and JPEG Pleno point cloud compression
[article]
2024
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2024; you can also visit the original URL.
The file type is application/pdf.
Other Versions
In this study, a comprehensive performance evaluation of MPEG and JPEG Pleno standards for point cloud compression is conducted. ...
The recent rise in interest in point clouds as an imaging modality has motivated standardization groups such as MPEG and JPEG Pleno to launch activities aiming at developing compression standards for point ...
Acknowledgements The authors acknowledge the participation of Filip Mikovíny in the development of the platform used for the interactive subjective evaluation of point clouds used in this study. ...
arXiv:2402.04760v2
fatcat:k2r6ls36jfaebnj4amtwjzbhnm
Geometry Preserving Sampling Method Based on Spectral Decomposition for Large-Scale Environments
2020
Frontiers in Robotics and AI
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
However, they tend to underperform with non-uniform density, large sensor noise, spurious measurements, and large-scale point clouds, which is the case in mobile robotics. ...
In the context of 3D mapping, larger and larger point clouds are acquired with lidar sensors. Although pleasing to the eye, dense maps are not necessarily tailored for practical applications. ...
which describe the local geometry around a point. ...
doi:10.3389/frobt.2020.572054
pmid:33501332
pmcid:PMC7806074
fatcat:uzys6rsdazgljgltndkq5rsjxi
3D Point Cloud Compression
2019
The 24th International Conference on 3D Web Technology on - Web3D '19
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Group Point Cloud Library V-PCC TM Video-based Point Cloud Compression Test Models G-PCC TMC Geometry-based Point Cloud Compression Test Model Category MLS K Mobile Laser Scanner thousand LiDAR M Light ...
A learning-based point cloud geometry compression method, so-called Learned-PCGC, is presented in (J. . ...
In this way, the point-to-plane error is computed as, The point-to-plane error (D2) for the whole point cloud is then defined as, For near-lossless geometry encoding, the maximum plane-to-plane error, ...
doi:10.1145/3329714.3338130
dblp:conf/vrml/CaoPZ19
fatcat:ypzqrhcifza2rlqmrn5l3bs6du
Proxy Clouds for Live RGB-D Stream Processing and Consolidation
[chapter]
2018
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
As a substitute of the observed scene, our proxy cloud can additionally be applied to compression and scene reconstruction. ...
Processing of RGB-D data with Proxy Clouds includes noise and temporal flickering removal, hole filling and resampling. ...
Based on time-evolving data points, the proxies consolidate the stable geometry of the scene by accumulating observations in multiple frames. ...
doi:10.1007/978-3-030-01231-1_16
fatcat:jpbsy5hx4nfxfdvhlsshzefvlu
BASICS: Broad quality Assessment of Static point clouds In Compression Scenarios
[article]
2023
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2023; you can also visit the original URL.
The file type is application/pdf.
The generated database is named Broad quality Assessment of Static point clouds In Compression Scenario (BASICS). ...
Point cloud compression is now at an advanced level and being standardized. Nevertheless, quality assessment databases, which is needed to develop better objective quality metrics, are still limited. ...
Geometry-based metrics rely only on the geometry information (e.g., the location in 3D space) stored at each point in the point cloud, ignoring the color attribute. ...
arXiv:2302.04796v1
fatcat:nlke7m7kujbbfny3th62ob24be
Subjective Quality Study and Database of Compressed Point Clouds with 6DoF Head-mounted Display
[article]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Other Versions
Our database consists of 303 valid distorted point clouds compressed by the MPEG point cloud encoder with the combination of 20 sequences and 17 pairs of geometry and texture quantization parameters. ...
In this paper, we focus on subjective and objective Point Cloud Quality Assessment (PCQA) in an immersive environment and study the effect of geometry and texture attributes in compression distortion. ...
One is Video-based PCC (V-PCC) targeting dynamic point clouds, the other is Geometry-based PCC (G-PCC). ...
arXiv:2008.02501v1
fatcat:r6adrhk7tvckdj55e7mkfldyvi
Geometry Preserving Sampling Method based on Spectral Decomposition for 3D Registration
[article]
2019
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Other Versions
In the context of 3D mapping, larger and larger point clouds are acquired with LIDAR sensors. The Iterative Closest Point (ICP) algorithm is used to align these point clouds. ...
It preserves geometric information along the topology of point clouds and is able to scale to large environments with non-uniform density. ...
The problem of limiting the growth of large point clouds during mapping is typically addressed by using an efficient representation based on octrees with a compression scheme to reduce the amount of data ...
arXiv:1810.01666v2
fatcat:4gl546vk6ngo5gdqzhimjusmd4
A comprehensive study of the rate-distortion performance in MPEG point cloud compression
2019
APSIPA Transactions on Signal and Information Processing
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
As a result of such efforts, MPEG is at the final stages of drafting an emerging standard for point cloud compression, which we consider as the state-of-the-art. ...
As part of the study, state-of-the-art objective quality metrics are benchmarked to assess their capability to predict visual quality of point clouds under a wide range of radically different compression ...
Compression [28] ) and G-PCC (Geometry-based Point Cloud Compression [29] ) codecs, using both objective and subjective quality assessment methodologies. ...
doi:10.1017/atsip.2019.20
fatcat:rureswadtbcm5ew2xgkw6il5qe
Denoising and Inpainting for Point Clouds Compressed by V-PCC
2021
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
point cloud sequences and compressed/processed (whole pipeline) point cloud sequences Comparison of MSE for compressed static point clouds and compressed/processed (whole pipeline) static point clouds ...
FIGURE 23 . 23 (a) Source point cloud Can. (b) Compressed point cloud before processing. (c) Compressed point cloud after processing. ...
doi:10.1109/access.2021.3102029
fatcat:2r5gpni3ena57a2t6ipngwlqly
Rufael Mekuria
2017
ACM SIGMultimedia Records
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
The geometry driven codec can also compress point clouds (i.e. point sampled data without the connectivity information). ...
Related Work Point Cloud Compression: There has been some work on point cloud compression in the past, but most works only aim at compression of static point clouds, instead of time-varying point clouds ...
LIDAR) into a highly-dense single point cloud (e.g. ...
doi:10.1145/3129151.3129159
fatcat:sws54gzf4jaszoq7s43wjlgtju
ImVoteNet: Boosting 3D Object Detection in Point Clouds with Image Votes
[article]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
ImVoteNet is based on fusing 2D votes in images and 3D votes in point clouds. ...
Thus they can complement the 3D geometry provided by point clouds. Yet how to effectively use image information to assist point cloud based detection is still an open question. ...
More recent methods are based on point cloud deep nets [33, 52, 18, 39, 31] . ...
arXiv:2001.10692v1
fatcat:o3gck4oi5raazjvicplcwy5oo4
4D Human Body Correspondences from Panoramic Depth Maps
[article]
2018
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Most existing solutions produce temporally uncorrelated point clouds or meshes with unknown point/vertex correspondences. ...
We then develop a learning-based technique to learn pixel-wise feature descriptors on PDMs. The results are fed into an autoencoder-based network for compression. ...
We then apply structure-from-motion for camera pose calibration and subsequently use open-source multiview stereo matching solutions [13] for generating the point cloud. ...
arXiv:1810.05340v1
fatcat:4ana5d2njfbjngsfc5rlz2ixky
4D Human Body Correspondences from Panoramic Depth Maps
2018
2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Most existing solutions produce temporally uncorrelated point clouds or meshes with unknown point/vertex correspondences. ...
We then develop a learning-based technique to learn pixel-wise feature descriptors on PDMs. The results are fed into an autoencoder-based network for compression. ...
We then apply structure-from-motion for camera pose calibration and subsequently use open-source multiview stereo matching solutions [13] for generating the point cloud. ...
doi:10.1109/cvpr.2018.00304
dblp:conf/cvpr/LiWZY18
fatcat:waybwfuaa5cabmlxat2jktnzum
A Graph-Based Approach to Symmetry Detection
[article]
2008
International Workshop on Volume Graphics, Proceedings of the
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
In this paper, we present a new symmetry detection algorithm for geometry represented as point clouds that is based on analyzing a graph of surface features. ...
A subsequent segmentation step based on a simultaneous region growing variant of the ICP algorithm is applied to verify that the actual point cloud data supports the pattern detected in the feature graphs ...
In contrast to methods based on voting [MGP06, GC06, PSG*06, LE06], our algorithm is based on a graph matching strategy. ...
doi:10.2312/vg/vg-pbg08/001-008
fatcat:xiylveaph5esnafb2dk7vxwd3u
« Previous
Showing results 1 — 15 out of 1,884 results