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VCIP 2020 Index

2020 2020 IEEE International Conference on Visual Communications and Image Processing (VCIP)  
, 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  
-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

Chona S. Guiang, Robert Y. Levine, Evgueni I. Kassianov, Adolfo Comeron, Richard H. Picard, Klaus Schäfer, Upendra N. Singh, Gelsomina Pappalardo
2012 Remote Sensing of Clouds and the Atmosphere XVII; and Lidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing VIII  
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]

Attila Börcs, Balázs Nagy, Milán Baticz, Csaba Benedek
2015 Lecture Notes in Computer Science  
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]

Shuang Deng, Bo Liu, Qiulei Dong, Zhanyi Hu
2021 arXiv   pre-print
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

Jianghong Zhao, Yinrui Wang, Yuee Cao, Ming Guo, Xianfeng Huang, Ruiju Zhang, Xintong Dou, Xinyu Niu, Yuanyuan Cui, Jun Wang
2021 Remote Sensing  
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

Fei-Yue Wang, Witold Pedrycz, Francisco Herrera, Shun-Feng Su
2020 IEEE transactions on fuzzy systems  
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

Zhu Li, Shan Liu, Frederic Dufaux, Li Li, Ge Li, C.-C. Jay Kuo
2021 IEEE transactions on circuits and systems for video technology (Print)  
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  
., +, 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

Ilya Chugunov, Avideh Zakhor
2019 2019 IEEE International Conference on Image Processing (ICIP)  
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]

Lin Bai, Yecheng Lyu, Xin Xu, Xinming Huang
2020 arXiv   pre-print
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

Francesco Pirotti
2019 Open Geospatial Data, Software and Standards  
, 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  
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

Junia Valente, Keerthi Koneru, Alvaro Cardenas
2019 2019 IEEE International Congress on Internet of Things (ICIOT)  
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

Yin Zhou, Kai Liu, Jinglun Gao, Kenneth E. Barner, Fouad Kiamilev
2013 2013 47th Annual Conference on Information Sciences and Systems (CISS)  
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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