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VCIP 2020 Index
2020
2020 IEEE International Conference on Visual Communications and Image Processing (VCIP)
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, Jing
Point Cloud Attribute Compression via
Successive Subspace Graph Transform
Wang, Jun
IBC-Mirror Mode for Screen Content Coding fo
the Next Generation Video Coding Standards
Wang, Mingyi ...
Cloud Registration via
Salient Points Analysis (SPA)
Zhang, Min
Unsupervised Feedforward Feature (UFF)
Learning for Point Cloud Classification and
Segmentation
Zhang, Min
Learning Redundant ...
doi:10.1109/vcip49819.2020.9301896
fatcat:bdh7cuvstzgrbaztnahjdp5s5y
2021 Index IEEE Transactions on Multimedia Vol. 23
2021
IEEE transactions on multimedia
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-that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021. ...
Note that the item title is found only under the primary entry in the Author Index. ...
Zhang, J., +, TMM 2021 2575-2587 Data compression A Deep Image Coding Scheme With Generative Network to Learn From Correlated Images. ...
doi:10.1109/tmm.2022.3141947
fatcat:lil2nf3vd5ehbfgtslulu7y3lq
Cloud detection and characterization using topological data analysis
2012
Remote Sensing of Clouds and the Atmosphere XVII; and Lidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing VIII
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The presence of cirrus clouds introduces complex heating and cooling effects on the atmosphere and can also interfere with remote sensing from satellite-based sensors or from high-altitude aircraft. ...
We utilize an application called JPLEX to study the persistent homology of multi-dimensional simplicial complexes built from available hyperspectral or multispectral data. ...
studying simplicial complexes, generated from real or synthetic point-cloud data. ...
doi:10.1117/12.978078
fatcat:anxlvqyzajeaxgydnpm5ysiww4
A Model-Based Approach for Fast Vehicle Detection in Continuously Streamed Urban LIDAR Point Clouds
[chapter]
2015
Lecture Notes in Computer Science
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In particular, we aim to detect and recognize vehicles from continuously streamed LIDAR point cloud sequences of a rotating multi-beam laser scanner. ...
The end-to-end pipeline of our framework working on the raw streams of 3-D urban laser data consists of three steps 1) producing distinct groups of points which represent different urban objects 2) extracting ...
Fig. 6 both from top-view and from side-view. Then we set the center points of the spheres to the corner points of the shifted 2-D bounding rectangle. ...
doi:10.1007/978-3-319-16628-5_30
fatcat:fbb4tsrmv5cgnpogoic4ewgssa
Rotation Transformation Network: Learning View-Invariant Point Cloud for Classification and Segmentation
[article]
2021
arXiv
pre-print
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Other Versions
2021
2021 IEEE International Conference on Multimedia and Expo (ICME)
unpublished
doi:10.1109/icme51207.2021.9428265 fatcat:nsuoewgeqjccnkb4hwo6ebshjy
doi:10.1109/icme51207.2021.9428265 fatcat:nsuoewgeqjccnkb4hwo6ebshjy
Extensive experimental results on 3D point cloud classification and segmentation tasks demonstrate that the proposed RTN could improve the performances of several state-of-the-art methods significantly ...
The RTN could be seamlessly inserted into many existing DNNs for point cloud analysis. ...
It is generally believed that one of the main factors which impede the development of many existing DNNs for point cloud classification and segmentation is: the input sets of point clouds belonging to ...
arXiv:2107.03105v1
fatcat:ask34fsp4vgo7gd5cttyaqetxy
The Fusion Strategy of 2D and 3D Information Based on Deep Learning: A Review
2021
Remote Sensing
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Moreover, according to the methods included in this paper, the 2D information and 3D information of different methods come from various kinds of data. ...
Recently, researchers have realized a number of achievements involving deep-learning-based neural networks for the tasks of segmentation and detection based on 2D images, 3D point clouds, etc. ...
Conflicts of Interest: The authors declare no conflict of interest. ...
doi:10.3390/rs13204029
fatcat:onnjeqvwb5gsjcrhdaq6hiekru
Editorial: Fuzzy Logic and Artificial Intelligence: A Special Issue on Emerging Techniques and Their Applications
2020
IEEE transactions on fuzzy systems
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They would also like to thank the reviewers who offered constructive and inspiring criticism contributing to the improved quality of the submissions. ...
ACKNOWLEDGMENT The Guest Editors would like to thanks the authors for sharing their recent exciting research. ...
to concept drift in data streams. ...
doi:10.1109/tfuzz.2020.3036848
fatcat:7pw6xh6yjjcd5lrmlpqxf6rcqy
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)
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First, multi-view features are obtained by sequentially projecting point clouds into the perspective and bird's-eye views. ...
The DTI and QVP modules share the feature generated from the MVFEF module. ...
doi:10.1109/tcsvt.2021.3129071
fatcat:hw6chtchp5dzbacriqj7k4tz7q
2020 Index IEEE Transactions on Image Processing Vol. 29
2020
IEEE Transactions on Image Processing
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., +, TIP 2020 747-756 A Transform Coding Strategy for Dynamic Point Clouds. ...
., +, TIP 2020 6829-6840
Point Cloud Denoising via Feature Graph Laplacian Regularization. ...
doi:10.1109/tip.2020.3046056
fatcat:24m6k2elprf2nfmucbjzhvzk3m
Duodepth: Static Gesture Recognition Via Dual Depth Sensors
2019
2019 IEEE International Conference on Image Processing (ICIP)
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2020 pre-print arXiv:2006.14691v1 fatcat:kumfszxdsjcmdj5b7lpfqucjvu
On a manually collected data-set of 20,100 point clouds we show a 39.2% reduction in misclassification for the fused point cloud method, and 53.4% for the dual PointNet, when compared to a standard single ...
One is a more classic approach using iterative closest point registration to accurately fuse point clouds and a single PointNet architecture for classification, and the other is a dual Point-Net architecture ...
way in which to fuse data from multiple camera pipelines, via coordinate system transformation and concatenation. ...
doi:10.1109/icip.2019.8803665
dblp:conf/icip/ChugunovZ19
fatcat:bynd54unlvdn7frcu7tcjkjjte
PointNet on FPGA for Real-Time LiDAR Point Cloud Processing
[article]
2020
arXiv
pre-print
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As the state-of-art deep learning algorithm for point cloud processing, PointNet is successfully implemented on the proposed FPGA platform. ...
This paper presents an FPGA-based deep learning platform for real-time point cloud processing targeted on autonomous vehicles. ...
During execution, the accelerator loads or stores point cloud (or intermediate data) at DDR by DMA via High Performance (HP) port according to AXI Stream protocol. Fig. 7 . ...
arXiv:2006.00049v1
fatcat:ehmorleue5bz7ovyxeyqo74twq
Open software and standards in the realm of laser scanning technology
2019
Open Geospatial Data, Software and Standards
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, edit and process point clouds. ...
Data standards and formats are also discussed, showing what are the challenges for storing and accessing massive point clouds. ...
Availability of data and materials Not applicable. ...
doi:10.1186/s40965-019-0073-z
fatcat:7kobl7xedbfyleyzwaqs4y3esm
Rufael Mekuria
2017
ACM SIGMultimedia Records
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Reconstruction algorithms generally remove background and other irrelevant data and stitch the point clouds from each view together and compute a single 3D Mesh or Point Cloud. ...
In the current implementation, all data coded to the intra coded part is written to a point cloud data structure, which will be later coded with the intra coding algorithm from 6.3. ...
Presentation System: generates audio and visual fields from the data generated by Decoder g. ...
doi:10.1145/3129151.3129159
fatcat:sws54gzf4jaszoq7s43wjlgtju
Privacy and Security in Internet-Connected Cameras
2019
2019 IEEE International Congress on Internet of Things (ICIOT)
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We show how a generic algorithm can be used to infer actions recorded by the camera, even if the traffic is encrypted, and we also show how both cameras have security vulnerabilities that allow a remote ...
We also discuss new findings such as the fact that one camera has multiple vendors and domains that connect to a single cloud system supported by a single company, which is a trend we have previously seen ...
Any opinions, findings, conclusions, or recommendations expressed are those of the author(s) and do not necessarily reflect the views of the LAS and/or any agency or entity of the United States Government ...
doi:10.1109/iciot.2019.00037
dblp:conf/iciot/ValenteKC19
fatcat:pl7qkorr5vcovegurcezugwooq
High-speed structured light scanning system and 3D gestural point cloud recognition
2013
2013 47th Annual Conference on Information Sciences and Systems (CISS)
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Respectively, for a 640 × 480 video stream, our system can generate phase and texture video at 1500 frames per second (fps) and produce full 3D point clouds at 300 fps. ...
For gesture recognition, we propose to combine the module of robust face recognition with the module of 3D point cloud classification. ...
In the pilot study, we choose the frontal face point clouds with no occlusion from session 1 to form a subset containing 96 point clouds (4 point clouds for each individual). ...
doi:10.1109/ciss.2013.6552323
dblp:conf/ciss/ZhouLGBK13
fatcat:b4z6trtd6jbepdtqx2b2riv2sm
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