5.4.14.1 Point Cloud Compression

Chapter Contents (Back)
Compression. Compression, Point Cloud. Point Cloud Compression.
See also Planar Patches from Range, Planar Surfaces.

Morell, V.[Vicente], Orts, S.[Sergio], Cazorla, M.[Miguel], Garcia-Rodriguez, J.[Jose],
Geometric 3D point cloud compression,
PRL(50), No. 1, 2014, pp. 55-62.
Elsevier DOI 1410
3D data BibRef

Thanou, D., Chou, P.A., Frossard, P.,
Graph-Based Compression of Dynamic 3D Point Cloud Sequences,
IP(25), No. 4, April 2016, pp. 1765-1778.
IEEE DOI 1604
Correlation BibRef

de Queiroz, R.L., Chou, P.A.,
Compression of 3D Point Clouds Using a Region-Adaptive Hierarchical Transform,
IP(25), No. 8, August 2016, pp. 3947-3956.
IEEE DOI 1608
Haar transforms BibRef

de Queiroz, R.L., Chou, P.A.,
Transform Coding for Point Clouds Using a Gaussian Process Model,
IP(26), No. 7, July 2017, pp. 3507-3517.
IEEE DOI 1706
Covariance matrices, Fourier transforms, Gaussian processes, Image color analysis, Transform coding, Gaussian processes, Karhunen-Loeve transform, data compression, graph Fourier transform, graph signal processing, point cloud BibRef

de Queiroz, R.L., Chou, P.A.,
Motion-Compensated Compression of Dynamic Voxelized Point Clouds,
IP(26), No. 8, August 2017, pp. 3886-3895.
IEEE DOI 1707
BibRef
And:
Motion-compensated compression of point cloud video,
ICIP17(1417-1421)
IEEE DOI 1803
Distortion, Distortion measurement, Dynamics, Encoding, Geometry, Image color analysis, data compression, image coding, image colour analysis, image filtering, motion compensation, rate distortion theory, BibRef

Seidel, I.[Ismael], Freitas, D.R.[Davi R.], Dorea, C.[Camilo], Garcia, D.C.[Diogo C.], Ferreira, R.U.B.[Renan U. B.], Higa, R.[Rogério], de Queiroz, R.L.[Ricardo L.], Testoni, V.[Vanessa],
Memory-Friendly Segmentation Refinement for Video-Based Point Cloud Compression,
ICIP21(3383-3387)
IEEE DOI 2201
Video coding, Image coding, Transform coding, Real-time systems, Software, Resource management, Point Cloud Compression, V-PCC, 3DG, Segmentation Refinement BibRef

Dorea, C.[Camilo], de Queiroz, R.L.[Ricardo L.],
Adaptive Block Partitioning of Point Clouds for Video-Based Color Compression,
ICIP20(2746-2749)
IEEE DOI 2011
Image color analysis, Proposals, Geometry, Bit rate, Encoding, compression of color attributes BibRef

Dorea, C., Hung, E.M., de Queiroz, R.L.,
Local Texture and Geometry Descriptors for Fast Block-Based Motion Estimation of Dynamic Voxelized Point Clouds,
ICIP19(3721-3725)
IEEE DOI 1910
BibRef
Earlier: A1, A3, Only:
Block-Based Motion Estimation Speedup for Dynamic Voxelized Point Clouds,
ICIP18(2964-2968)
IEEE DOI 1809
Point clouds, volumetric media, 3D, motion estimation. Distortion, Image color analysis, Shape, Measurement, Motion estimation, Dynamics, Point clouds, motion estimation BibRef

Sandri, G., de Queiroz, R.L., Chou, P.A.,
Compression of Plenoptic Point Clouds,
IP(28), No. 3, March 2019, pp. 1419-1427.
IEEE DOI 1812
BibRef
Earlier:
Compression of Plenoptic Point Clouds Using the Region-Adaptive Hierarchical Transform,
ICIP18(1153-1157)
IEEE DOI 1809
cameras, data compression, decoding, image coding, image colour analysis, image representation, interpolation, image compression. Face, Color, Transforms, point cloud, plenoptic compression, virtual reality BibRef

Pavez, E., Girault, B., Ortega, A., Chou, P.A.,
Region Adaptive Graph Fourier Transform for 3D Point Clouds,
ICIP20(2726-2730)
IEEE DOI 2011
Fourier transforms, Laplace equations, Spatial resolution, Complexity theory, block transform BibRef

Peixoto, E.,
Intra-Frame Compression of Point Cloud Geometry Using Dyadic Decomposition,
SPLetters(27), 2020, pp. 246-250.
IEEE DOI 2002
Point clouds, intra coder, lossless coding, arithmetic coding BibRef

Freitas, D.R.[Davi R.], Peixoto, E.[Eduardo], de Queiroz, R.L.[Ricardo L.], Medeiros, E.[Edil],
Lossy Point Cloud Geometry Compression Via Dyadic Decomposition,
ICIP20(2731-2735)
IEEE DOI 2011
Geometry, Encoding, Octrees, Bit rate, Binary trees, Transform coding, Point clouds, lossy coding, intra coder BibRef

Mekuria, R., Blom, K., Cesar, P.,
Design, Implementation, and Evaluation of a Point Cloud Codec for Tele-Immersive Video,
CirSysVideo(27), No. 4, April 2017, pp. 828-842.
IEEE DOI 1704
Codecs BibRef

Gu, S., Hou, J., Zeng, H., Yuan, H., Ma, K.,
3D Point Cloud Attribute Compression Using Geometry-Guided Sparse Representation,
IP(29), No. 1, 2020, pp. 796-808.
IEEE DOI 1910
Image coding, Transforms, Image color analysis, Redundancy, Entropy coding, 3D point cloud, entropy coding BibRef

Gu, S., Hou, J., Zeng, H., Yuan, H.,
3D Point Cloud Attribute Compression via Graph Prediction,
SPLetters(27), 2020, pp. 176-180.
IEEE DOI 2002
3D point cloud, compression, prediction, graph structure BibRef

Chou, P.A., Koroteev, M., Krivokuca, M.,
A Volumetric Approach to Point Cloud Compression: Part I: Attribute Compression,
IP(29), 2020, pp. 2203-2216.
IEEE DOI 2001
Image coding, Geometry, Transforms, Octrees, Splines (mathematics), Hilbert space, Bézier volumes, counting measure BibRef

Krivokuca, M., Chou, P.A., Koroteev, M.,
A Volumetric Approach to Point Cloud Compression Part II: Geometry Compression,
IP(29), 2020, pp. 2217-2229.
IEEE DOI 2001
Bézier volumes, B-splines, wavelets, point cloud compression, geometry coding, shape coding, multiresolution representations, graph signal processing BibRef

Zhu, W., Ma, Z., Xu, Y., Li, L., Li, Z.,
View-Dependent Dynamic Point Cloud Compression,
CirSysVideo(31), No. 2, February 2021, pp. 765-781.
IEEE DOI 2102
Image reconstruction, Video coding, Quality of experience, patch-based local projection BibRef

Gao, S., Zhang, Y., Liu, D., Xiong, Z.,
Volumetric End-to-End Optimized Compression for Brain Images,
VCIP20(503-506)
IEEE DOI 2102
Image coding, Solid modeling, Brain modeling, Context modeling, convolutional long short-term memory BibRef

Cao, C.[Chao], Preda, M.[Marius], Zakharchenko, V.[Vladyslav], Jang, E.S.[Euee S.], Zaharia, T.[Titus],
Compression of Sparse and Dense Dynamic Point Clouds: Methods and Standards,
PIEEE(109), No. 9, September 2021, pp. 1537-1558.
IEEE DOI 2108
Image color analysis, Octrees, Transform coding, Encoding, Computer graphics, Image coding, standards BibRef

Ramalho, E.[Evaristo], Peixoto, E.[Eduardo], Medeiros, E.[Edil],
Silhouette 4D With Context Selection: Lossless Geometry Compression of Dynamic Point Clouds,
SPLetters(28), 2021, pp. 1660-1664.
IEEE DOI 2109
Image coding, Encoding, Transform coding, Signal processing algorithms, Codecs, Geometry, arithmetic coding BibRef

Zhu, W.J.[Wen-Jie], Xu, Y.L.[Yi-Ling], Ding, D.D.[Dan-Dan], Ma, Z.[Zhan], Nilsson, M.[Mike],
Lossy Point Cloud Geometry Compression via Region-Wise Processing,
CirSysVideo(31), No. 12, December 2021, pp. 4575-4589.
IEEE DOI 2112
Geometry, Octrees, Encoding, Transforms, Surface treatment, Transform coding, Point cloud geometry, region compression BibRef

Wang, J.Q.[Jian-Qiang], Zhu, H.[Hao], Liu, H.J.[Hao-Jie], Ma, Z.[Zhan],
Lossy Point Cloud Geometry Compression via End-to-End Learning,
CirSysVideo(31), No. 12, December 2021, pp. 4909-4923.
IEEE DOI 2112
Image coding, Geometry, Transform coding, Octrees, Transforms, end-to-end learning BibRef

Hu, Y.Y.[Yue-Yu], Yang, W.H.[Wen-Han], Ma, Z.[Zhan], Liu, J.Y.[Jia-Ying],
Learning End-to-End Lossy Image Compression: A Benchmark,
PAMI(44), No. 8, August 2022, pp. 4194-4211.
IEEE DOI 2207
Image coding, Benchmark testing, Entropy, Rate-distortion, Codecs, Transforms, Transform coding, Machine learning, image compression, transform coding BibRef

Gao, L.Y.[Lin-Yao], Fan, T.Y.[Ting-Yu], Wan, J.Q.[Jian-Qiang], Xu, Y.L.[Yi-Ling], Sun, J.[Jun], Ma, Z.[Zhan],
Point Cloud Geometry Compression Via Neural Graph Sampling,
ICIP21(3373-3377)
IEEE DOI 2201
Geometry, Convolutional codes, Measurement, Image coding, Transform coding, Euclidean distance, Point cloud geometry (PCG), point-wise convolution BibRef

Nguyen, D.T.[Dat Thanh], Quach, M.[Maurice], Valenzise, G.[Giuseppe], Duhamel, P.[Pierre],
Lossless Coding of Point Cloud Geometry Using a Deep Generative Model,
CirSysVideo(31), No. 12, December 2021, pp. 4617-4629.
IEEE DOI 2112
Octrees, Geometry, Image coding, Encoding, Context modeling, Convolutional codes, arithmetic coding BibRef

Nguyen, D.T.[Dat Thanh], Kaup, A.[André],
Learning-Based Lossless Point Cloud Geometry Coding Using Sparse Tensors,
ICIP22(2341-2345)
IEEE DOI 2211
Point cloud compression, Geometry, Image coding, Tensors, Convolution, Computational modeling, Point Cloud, SparseVoxelDNN BibRef

Song, F.[Fei], Shao, Y.T.[Yi-Ting], Gao, W.[Wei], Wang, H.Q.[Hai-Qiang], Li, T.[Thomas],
Layer-Wise Geometry Aggregation Framework for Lossless LiDAR Point Cloud Compression,
CirSysVideo(31), No. 12, December 2021, pp. 4603-4616.
IEEE DOI 2112
Geometry, Octrees, Laser radar, Correlation, Adaptation models, Entropy coding, Layer-wise, LiDAR point cloud BibRef

Zhang, X.[Xiang], Gao, W.[Wen],
Adaptive Geometry Partition for Point Cloud Compression,
CirSysVideo(31), No. 12, December 2021, pp. 4561-4574.
IEEE DOI 2112
Encoding, Geometry, Standards, Transform coding, Video coding, Image coding, binary-tree partition BibRef

Hooda, R.[Reetu], Pan, W.D.[W. David],
Early Termination of Dyadic Region-Adaptive Hierarchical Transform for Efficient Attribute Compression of 3D Point Clouds,
SPLetters(29), 2022, pp. 214-218.
IEEE DOI 2202
Point cloud compression, Transforms, Transform coding, Image edge detection, Switches, Standards, Dyadic RAHT BibRef

Deng, Q.W.[Qin-Wen], Zhang, S.Y.[Song-Yang], Ding, Z.[Zhi],
An Efficient Hypergraph Approach to Robust Point Cloud Resampling,
IP(31), 2022, pp. 1924-1937.
IEEE DOI 2202
Point cloud compression, Kernel, Convolution, Filtering, Feature extraction, Surface treatment, virtual reality BibRef

Liu, H.[Hao], Yuan, H.[Hui], Liu, Q.[Qi], Hou, J.H.[Jun-Hui], Zeng, H.Q.[Huan-Qiang], Kwong, S.[Sam],
A Hybrid Compression Framework for Color Attributes of Static 3D Point Clouds,
CirSysVideo(32), No. 3, March 2022, pp. 1564-1577.
IEEE DOI 2203
Image coding, Geometry, Image color analysis, Discrete cosine transforms, Octrees, 3D point clouds, rate distortion optimization BibRef

Wang, T.[Taiyu], Li, F.[Fan], Cosman, P.C.[Pamela C.],
Learning-Based Rate Control for Video-Based Point Cloud Compression,
IP(31), 2022, pp. 2175-2189.
IEEE DOI 2203
Point cloud compression, Image coding, Geometry, Bit rate, Streaming media, Resource management, deep neural network BibRef

Sheng, X.[Xihua], Li, L.[Li], Liu, D.[Dong], Xiong, Z.W.[Zhi-Wei], Li, Z.[Zhu], Wu, F.[Feng],
Deep-PCAC: An End-to-End Deep Lossy Compression Framework for Point Cloud Attributes,
MultMed(24), 2022, pp. 2617-2632.
IEEE DOI 2205
Image coding, Geometry, Transforms, Convolution, Transform coding, Decoding, Attribute compression, point cloud compression BibRef

Tzamarias, D.E.O.[Dion E. O.], Chow, K.[Kevin], Blanes, I.[Ian], Serra-Sagristà, J.[Joan],
Fast Run-Length Compression of Point Cloud Geometry,
IP(31), 2022, pp. 4490-4501.
IEEE DOI 2207
Point cloud compression, Image coding, Geometry, Octrees, Encoding, Arithmetic, Point cloud geometry compression, context-adaptive encoder BibRef

Chen, J.F.[Jia-Feng], Yu, L.[Lu], Wang, W.[Wenyi],
Hilbert Space Filling Curve Based Scan-Order for Point Cloud Attribute Compression,
IP(31), 2022, pp. 4609-4621.
IEEE DOI 2207
Point cloud compression, Image coding, Codes, Correlation, Filling, Transform coding, Point cloud, attribute compression, correlation preservation BibRef

Zhao, L.[Lili], Ma, K.K.[Kai-Kuang], Liu, Z.[Zhili], Yin, Q.[Qian], Chen, J.W.[Jian-Wen],
Real-Time Scene-Aware LiDAR Point Cloud Compression Using Semantic Prior Representation,
CirSysVideo(32), No. 8, August 2022, pp. 5623-5637.
IEEE DOI 2208
Point cloud compression, Laser radar, Encoding, Geometry, Image coding, Real-time systems, LiDAR, point cloud compression, real-time BibRef

Tian, Y.F.[Yi-Fei], Song, W.[Wei], Chen, L.[Long], Fong, S.[Simon], Sung, Y.[Yunsick], Kwak, J.[Jeonghoon],
A 3D Object Recognition Method From LiDAR Point Cloud Based on USAE-BLS,
ITS(23), No. 9, September 2022, pp. 15267-15277.
IEEE DOI 2209
Point cloud compression, Object recognition, Feature extraction, Solid modeling, Training, Laser radar, 3D object recognition, unified space autoencoder BibRef

Herglotz, C.[Christian], Genser, N.[Nils], Kaup, A.[André],
Rate-Distortion Optimal Transform Coefficient Selection for Unoccupied Regions in Video-Based Point Cloud Compression,
CirSysVideo(32), No. 11, November 2022, pp. 7996-8009.
IEEE DOI 2211
Point cloud compression, Videos, Encoding, Extrapolation, Transforms, Geometry, Image coding, Coding, HEVC, unoccupied pixels, V-PCC BibRef

Zhang, Z.C.[Zi-Cheng], Sun, W.[Wei], Min, X.K.[Xiong-Kuo], Wang, T.[Tao], Lu, W.[Wei], Zhai, G.T.[Guang-Tao],
No-Reference Quality Assessment for 3D Colored Point Cloud and Mesh Models,
CirSysVideo(32), No. 11, November 2022, pp. 7618-7631.
IEEE DOI 2211
Solid modeling, Measurement, Feature extraction, Point cloud compression, Computational modeling, natural scene statistics BibRef

Lei, J.J.[Jian-Jun], Song, J.[Jiahui], Peng, B.[Bo], Li, W.Q.[Wan-Qing], Pan, Z.Q.[Zhao-Qing], Huang, Q.M.[Qing-Ming],
C2FNet: A Coarse-to-Fine Network for Multi-View 3D Point Cloud Generation,
IP(31), 2022, pp. 6707-6718.
IEEE DOI 2211
Point cloud compression, Solid modeling, Strain, Feature extraction, Shape, Deep learning, global guidance BibRef

Dinesh, C.[Chinthaka], Cheung, G.[Gene], Bajic, I.V.[Ivan V.],
Point Cloud Sampling via Graph Balancing and Gershgorin Disc Alignment,
PAMI(45), No. 1, January 2023, pp. 868-886.
IEEE DOI 2212
Laplace equations, Signal processing algorithms, Symmetric matrices, Eigenvalues and eigenfunctions, graph Laplacian regularizer
See also Signed Graph Metric Learning via Gershgorin Disc Perfect Alignment. BibRef

Dinesh, C.[Chinthaka], Cheung, G.[Gene], Wang, F.[Fen], Bajic, I.V.[Ivan V.],
Sampling of 3D Point Cloud Via Gershgorin Disc Alignment,
ICIP20(2736-2740)
IEEE DOI 2011
Laplace equations, Image resolution, Eigenvalues and eigenfunctions, Signal resolution, Optimization, graph signal processing BibRef

Wei, Z.[Ziwei], Niu, B.[Benben], Xiao, H.D.[Hao-Dong], He, Y.[Yun],
Isolated Points Prediction via Deep Neural Network on Point Cloud Lossless Geometry Compression,
CirSysVideo(33), No. 1, January 2023, pp. 407-420.
IEEE DOI 2301
Point cloud compression, Geometry, Feature extraction, Codes, Artificial neural networks, Predictive models, Laser radar, hierarchical feature extraction BibRef


Berg, A.[Axel], Oskarsson, M.[Magnus], O'Connor, M.[Mark],
Points to Patches: Enabling the Use of Self-Attention for 3D Shape Recognition,
ICPR22(528-534)
IEEE DOI 2212
Point cloud compression, Simultaneous localization and mapping, Shape, Pipelines, Transformers BibRef

Liu, C.[Chang], Qian, X.Y.[Xiao-Yan], Qi, X.J.[Xiao-Juan], Lam, E.Y.[Edmund Y.], Tan, S.C.[Siew-Chong], Wong, N.[Ngai],
MAP-Gen: An Automated 3D-Box Annotation Flow with Multimodal Attention Point Generator,
ICPR22(1148-1155)
IEEE DOI 2212
Point cloud compression, Geometry, Limiting, Annotations, Semantics, Training data BibRef

Xu, Y.Z.[Ying-Zhan], Zhang, K.[Kai], Wang, W.[Wenyi], Zhang, L.[Li],
Bi-Directional Inter-Prediction For Geometry-Based Point Cloud Compression,
ICIP22(3768-3772)
IEEE DOI 2211
Point cloud compression, Geometry, Optical fibers, Image coding, Codes, Quantization (signal), point cloud compression, Inter-EM, hierarchical QP values BibRef

Prasad, S.[Shitala], Li, Y.Q.[Yi-Qun], Lin, D.[Dongyun], Guo, A.[Aiyuan],
Implicit Shape Biased Few-Shot Learning for 3D Object Generalization,
ICIP22(3436-3440)
IEEE DOI 2211
Point cloud compression, Shape, Task analysis, Few-Shot Learning, 3D Object, Data Augmentation, Point Shape BibRef

Lu, J.Y.[Jing-Yun], Zhang, W.[Wei], Yang, L.H.[Li-Hui], Yang, F.Z.[Fu-Zheng],
Distribution-Driven Predictor Screening For Point Cloud Attribute Compression,
ICIP22(2966-2970)
IEEE DOI 2211
Point cloud compression, Geometry, Image coding, Graphical models, Transform coding, Prediction algorithms, Point cloud compression, geometry-guide BibRef

Wang, H.[Hewei], Zhu, B.[Bolun], Li, Y.J.[Yi-Jie], Gong, K.[Kaiwen], Wen, Z.Y.[Zi-Yuan], Wang, S.F.[Shao-Fan], Dev, S.[Soumyabrata],
SYGNet: A SVD-YOLO based GhostNet for Real-time Driving Scene Parsing,
ICIP22(2701-2705)
IEEE DOI 2211
Point cloud compression, Codes, Roads, Feature extraction, Real-time systems, Spatial databases, Data models, GhostNet BibRef

Cao, C.[Chao], Preda, M.[Marius], Zaharia, T.[Titus],
Affine Transformation-Based Color Compression For Dynamic 3D Point Clouds,
ICIP22(1556-1560)
IEEE DOI 2211
Point cloud compression, Geometry, Image coding, Image color analysis, Motion estimation, Transform coding, affine transformation BibRef

Guo, T.[Tian], Yuan, H.[Hui], Wang, T.T.[Ting-Ting], Gao, W.[Wei],
Graph Filter-Based Fast Motion Matching for Inter Frame Coding of MPEG G-PCC,
ICIP22(1151-1155)
IEEE DOI 2211
Point cloud compression, Geometry, Matched filters, Image coding, Motion estimation, Transform coding, Complexity theory, G-PCC BibRef

Wang, Z.C.[Zhi-Chao], Peng, Q.[Qi], Li, J.[Jie],
Skip-MLP Network for Point Cloud Classification,
ICIP22(1001-1005)
IEEE DOI 2211
Point cloud compression, Image segmentation, Image coding, Semantics, Benchmark testing, Robustness, Encoding, Point clouds, classification BibRef

Xu, Y.Y.[Yuan-Yi], Ji, Y.Y.[Yan-Yang], Huang, S.Y.[Sheng-Yu], Lin, Z.H.[Zhi-Hao], Wang, Y.C.A.F.[Yu-Chi-Ang Frank],
3D-Selfcutmix: Self-Supervised Learning for 3D Point Cloud Analysis,
ICIP22(676-680)
IEEE DOI 2211
Point cloud compression, Training, Solid modeling, Semantics, Self-supervised learning, Self-supervised learning, point cloud analysis BibRef

Mei, G.F.[Guo-Feng], Huang, X.[Xiaoshui], Liu, J.[Juan], Zhang, J.[Jian], Wu, Q.[Qiang],
Unsupervised Point Cloud Pre-Training Via Contrasting and Clustering,
ICIP22(66-70)
IEEE DOI 2211
Point cloud compression, Solid modeling, Image segmentation, Annotations, Neural networks, Feature extraction, Point cloud, clustering BibRef

Chen, Z.[Zhili], Qian, Z.[Zian], Wang, S.[Sukai], Chen, Q.F.[Qi-Feng],
Point Cloud Compression with Sibling Context and Surface Priors,
ECCV22(XXXVIII:744-759).
Springer DOI 2211
BibRef

Wang, S.[Sukai], Liu, M.[Ming],
Point Cloud Compression with Range Image-Based Entropy Model for Autonomous Driving,
ECCV22(XXII:323-340).
Springer DOI 2211
BibRef

Cheng, N.[Nuo], Li, X.H.[Xiao-Han], Li, H.[Han], Liu, X.T.[Xiao-Tong], Luo, C.[Chuanyu], Lei, S.G.[Sheng-Guang], Li, P.[Pu],
PASNET: A Self-AdaPtive Point Cloud Sorting APProach to an ImProved Feature Extraction,
ICIP22(956-960)
IEEE DOI 2211
Point cloud compression, Adaptation models, Multilayer perceptrons, Benchmark testing, Feature extraction, KITTI BibRef

Luo, S.T.[Shi-Tong], Li, J.[Jiahan], Guan, J.Q.[Jia-Qi], Su, Y.F.[Yu-Feng], Cheng, C.[Chaoran], Peng, J.[Jian], Ma, J.Z.[Jian-Zhu],
Equivariant Point Cloud Analysis via Learning Orientations for Message Passing,
CVPR22(18910-18919)
IEEE DOI 2210
Point cloud compression, Codes, Message passing, Computational modeling, Transforms, Graph neural networks, Pose estimation and tracking BibRef

Yamada, R.[Ryosuke], Kataoka, H.[Hirokatsu], Chiba, N.[Naoya], Domae, Y.[Yukiyasu], Ogata, T.[Tetsuya],
Point Cloud Pre-training with Natural 3D Structures,
CVPR22(21251-21261)
IEEE DOI 2210
Point cloud compression, Geometry, Training, Annotations, Supervised learning, Training data, Datasets and evaluation, Self- semi- meta- Transfer/low-shot/long-tail learning BibRef

Wang, J.[Jun], Li, X.L.[Xiao-Long], Sullivan, A.[Alan], Abbott, L.[Lynn], Chen, S.[Siheng],
PointMotionNet: Point-Wise Motion Learning for Large-Scale LiDAR Point Clouds Sequences,
WAD22(4418-4427)
IEEE DOI 2210
Point cloud compression, Laser radar, Convolution, Motion segmentation, Semantics, Feature extraction BibRef

Fang, G.C.[Guang-Chi], Hu, Q.Y.[Qing-Yong], Wang, H.Y.[Han-Yun], Xu, Y.L.[Yi-Ling], Guo, Y.L.[Yu-Lan],
3DAC: Learning Attribute Compression for Point Clouds,
CVPR22(14799-14808)
IEEE DOI 2210
Point cloud compression, Reflectivity, Correlation, Transforms, Entropy, Robot vision BibRef

He, Y.[Yun], Ren, X.[Xinlin], Tang, D.H.[Dan-Hang], Zhang, Y.[Yinda], Xue, X.Y.[Xiang-Yang], Fu, Y.W.[Yan-Wei],
Density-preserving Deep Point Cloud Compression,
CVPR22(2323-2332)
IEEE DOI 2210
Point cloud compression, Measurement, Geometry, Machine vision, Design methodology, Rate-distortion, 3D from multi-view and sensors BibRef

Zhou, X.Y.[Xuan-Yu], Qi, C.R.[Charles R.], Zhou, Y.[Yin], Anguelov, D.[Dragomir],
RIDDLE: Lidar Data Compression with Range Image Deep Delta Encoding,
CVPR22(17191-17200)
IEEE DOI 2210
Point cloud compression, Solid modeling, Image coding, Laser radar, Predictive models, Prediction algorithms, RGBD sensors and analytics BibRef

Kim, S.[Sihyeon], Lee, S.[Sanghyeok], Hwang, D.[Dasol], Lee, J.W.[Jae-Won], Hwang, S.J.[Seong Jae], Kim, H.W.J.[Hyun-Woo J.],
Point Cloud Augmentation with Weighted Local Transformations,
ICCV21(528-537)
IEEE DOI 2203
Point cloud compression, Training, Shape, Neural networks, Manuals, Task analysis, Recognition and classification, Segmentation, Vision applications and systems BibRef

Li, X.K.[Xin-Ke], Chen, Z.R.[Zhi-Rui], Zhao, Y.[Yue], Tong, Z.K.[Ze-Kun], Zhao, Y.B.[Ya-Bang], Lim, A.[Andrew], Zhou, J.T.Y.[Joey Tian-Yi],
PointBA: Towards Backdoor Attacks in 3D Point Cloud,
ICCV21(16472-16481)
IEEE DOI 2203
Point cloud compression, Deep learning, Solid modeling, Filtering, Optimization methods, Inspection, Adversarial learning, Recognition and classification BibRef

Sridhara, S.N.[Shashank N.], Pavez, E.[Eduardo], Ortega, A.[Antonio],
Cylindrical Coordinates for Lidar Point Cloud Compression,
ICIP21(3083-3087)
IEEE DOI 2201
Geometry, Image coding, Laser radar, Octrees, Transforms, cylindrical coordinates, octree, voxelization, Li-DAR, RAHT BibRef

Milani, S.[Simone],
ADAE: Adversarial Distributed Source Autoencoder for Point Cloud Compression,
ICIP21(3078-3082)
IEEE DOI 2201
Geometry, Training, Image coding, Source coding, Rate-distortion, Decoding, point cloud compression, adversarial autoencoder, decoding loss BibRef

Lazzarotto, D.[Davi], Alexiou, E.[Evangelos], Ebrahimi, T.[Touradj],
On Block Prediction for Learning-Based Point Cloud Compression,
ICIP21(3378-3382)
IEEE DOI 2201
Measurement, Visualization, Image coding, Redundancy, Standardization, Predictive coding, Point cloud compression, auto-encoder BibRef

Santos, C.[Cristiano], Gonçalves, M.[Mateus], Corrêa, G.[Guilherme], Porto, M.[Marcelo],
Block-Based Inter-Frame Prediction for Dynamic Point Cloud Compression,
ICIP21(3388-3392)
IEEE DOI 2201
Geometry, Image coding, Heuristic algorithms, Redundancy, Bit rate, Point Cloud Compression, Inter-frame Prediction, Mode Decision BibRef

Que, Z.Z.[Zi-Zheng], Lu, G.[Guo], Xu, D.[Dong],
VoxelContext-Net: An Octree based Framework for Point Cloud Compression,
CVPR21(6038-6047)
IEEE DOI 2111
Geometry, Deep learning, Octrees, Semantics, Benchmark testing, Distortion BibRef

He, Y., Li, G., Shao, Y., Wang, J., Chen, Y., Liu, S.,
A point cloud compression framework via spherical projection,
VCIP20(62-65)
IEEE DOI 2102
Image coding, Geometry, Laser radar, Tools, Transform coding, Codecs, point cloud, lossless compression, range images BibRef

Quach, M., Valenzise, G., Dufaux, F.,
Folding-Based Compression Of Point Cloud Attributes,
ICIP20(3309-3313)
IEEE DOI 2011
Image coding, Distortion, Image analysis, Geometry, Manifolds, neural network BibRef

Sandri, G., Figueiredo, V.F., Chou, P.A., de Queiroz, R.,
Point Cloud Compression Incorporating Region of Interest Coding,
ICIP19(4370-4374)
IEEE DOI 1910
Point cloud, region of interest, RAHT BibRef

Gonçalves, M., Agostini, L., Palomino, D., Porto, M., Correa, G.,
Encoding Efficiency and Computational Cost Assessment of State-Of-The-Art Point Cloud Codecs,
ICIP19(3726-3730)
IEEE DOI 1910
Point cloud compression, encoding efficiency, computational cost, codec BibRef

Capraro, F., Milani, S.,
Rendering-Aware Point Cloud Coding for Mixed Reality Devices,
ICIP19(3706-3710)
IEEE DOI 1910
point cloud coding, spherical coordinates, Unity, octree coding, mixed reality BibRef

Xu, Y.Q.[Yi-Qun], Wang, S.S.[Shan-She], Zhang, X.F.[Xin-Feng], Wang, S.Q.[Shi-Qi], Zhang, N.[Nan], Ma, S.W.[Si-Wei], Gao, W.[Wen],
Rate-Distortion Optimized Scan for Point Cloud Color Compression,
VCIP17(1-4)
IEEE DOI 1804
computer graphics, image coding, image colour analysis, image texture, optimisation, rate distortion theory, color attribute BibRef

Renault, S.[Sylvain], Ebner, T.[Thomas], Feldmann, I.[Ingo], Schreer, O.[Oliver],
Point cloud compression framework for the web,
IC3D16(1-8)
IEEE DOI 1703
Internet BibRef

Cohen, R.A., Tian, D., Vetro, A.,
Attribute compression for sparse point clouds using graph transforms,
ICIP16(1374-1378)
IEEE DOI 1610
Encoding BibRef

Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Motion and Video Coding: General .


Last update:Jan 29, 2023 at 20:54:24