Diniz, R.[Rafael],
Freitas, P.G.[Pedro Garcia],
Farias, M.C.Q.[Mylène C. Q.],
Color and Geometry Texture Descriptors for Point-Cloud Quality
Assessment,
SPLetters(28), 2021, pp. 1150-1154.
IEEE DOI
2106
BibRef
Earlier:
Multi-Distance Point Cloud Quality Assessment,
ICIP20(3443-3447)
IEEE DOI
2011
Measurement, Geometry, Color, Feature extraction,
Image color analysis, Visualization, geometric texture analysis.
Databases, Distortion, Frequency modulation, Transform coding,
local binary pattern
BibRef
Pfeifer, N.[Norbert],
Falkner, J.[Johannes],
Bayr, A.[Andreas],
Eysn, L.[Lothar],
Ressl, C.[Camillo],
Test Charts for Evaluating Imaging and Point Cloud Quality of Mobile
Mapping Systems for Urban Street Space Acquisition,
RS(13), No. 2, 2021, pp. xx-yy.
DOI Link
2101
BibRef
Abegg, M.[Meinrad],
Boesch, R.[Ruedi],
Schaepman, M.E.[Michael E.],
Morsdorf, F.[Felix],
Impact of Beam Diameter and Scanning Approach on Point Cloud Quality
of Terrestrial Laser Scanning in Forests,
GeoRS(59), No. 10, October 2021, pp. 8153-8167.
IEEE DOI
2109
Laser beams, Forestry, Measurement by laser beam,
Surface emitting lasers, stem diameter distribution
BibRef
Liu, Q.[Qi],
Yuan, H.[Hui],
Su, H.L.[Hong-Lei],
Liu, H.[Hao],
Wang, Y.[Yu],
Yang, H.[Huan],
Hou, J.H.[Jun-Hui],
PQA-Net: Deep No Reference Point Cloud Quality Assessment via
Multi-View Projection,
CirSysVideo(31), No. 12, December 2021, pp. 4645-4660.
IEEE DOI
2112
Measurement, Distortion,
Quality assessment, Feature extraction, Geometry, multi-view
BibRef
He, Z.Y.[Zhou-Yan],
Jiang, G.Y.[Gang-Yi],
Yu, M.[Mei],
Jiang, Z.[Zhidi],
Peng, Z.[Zongju],
Chen, F.[Fen],
TGP-PCQA: Texture and geometry projection based quality assessment
for colored point clouds,
JVCIR(83), 2022, pp. 103449.
Elsevier DOI
2202
BibRef
Earlier: A1, A2, A4, A3, Only:
Towards A Colored Point Cloud Quality Assessment Method Using Colored
Texture and Curvature Projection,
ICIP21(1444-1448)
IEEE DOI
2201
Colored point cloud, Visual quality assessment,
Texture and geometry projection, Objective quality assessment.
Visualization, Image coding, Image color analysis, Databases,
Feature extraction, Distortion, Visual quality assessment,
curvature projection
BibRef
Hua, L.[Lei],
Yu, M.[Mei],
He, Z.Y.[Zhou-Yan],
Tu, R.[Renwei],
Jiang, G.Y.[Gang-Yi],
CPC-GSCT: Visual quality assessment for coloured point cloud based on
geometric segmentation and colour transformation,
IET-IPR(16), No. 4, 2022, pp. 1083-1095.
DOI Link
2203
BibRef
Yang, Q.[Qi],
Ma, Z.[Zhan],
Xu, Y.L.[Yi-Ling],
Li, Z.[Zhu],
Sun, J.[Jun],
Inferring Point Cloud Quality via Graph Similarity,
PAMI(44), No. 6, June 2022, pp. 3015-3029.
IEEE DOI
2205
Color, Measurement, Geometry, Image color analysis, Visualization,
point cloud
BibRef
Lu, Z.[Zian],
Huang, H.L.[Hai-Liang],
Zeng, H.Q.[Huan-Qiang],
Hou, J.H.[Jun-Hui],
Ma, K.K.[Kai-Kuang],
Point Cloud Quality Assessment via 3D Edge Similarity Measurement,
SPLetters(29), 2022, pp. 1804-1808.
IEEE DOI
2209
Feature extraction, Point cloud compression, Quality assessment,
Solid modeling, Measurement, Visualization, Human visual system,
3D Difference of Gaussian
BibRef
Zhou, W.[Wei],
Yue, G.H.[Guang-Hui],
Zhang, R.[Ruizeng],
Qin, Y.P.[Yi-Peng],
Liu, H.T.[Han-Tao],
Reduced-Reference Quality Assessment of Point Clouds via
Content-Oriented Saliency Projection,
SPLetters(30), 2023, pp. 354-358.
IEEE DOI
2305
Point cloud compression, Measurement, Databases, Visualization,
Distortion measurement, Correlation, human visual system
BibRef
Chai, X.L.[Xiong-Li],
Shao, F.[Feng],
Mu, B.Y.[Bao-Yang],
Chen, H.W.[Hang-Wei],
Jiang, Q.P.[Qiu-Ping],
Ho, Y.S.[Yo-Sung],
Plain-PCQA: No-Reference Point Cloud Quality Assessment by Analysis
of Plain Visual and Geometrical Components,
CirSysVideo(34), No. 7, July 2024, pp. 6207-6223.
IEEE DOI
2407
Visualization, Point cloud compression, Feature extraction,
Three-dimensional displays, Distortion, Quality assessment,
plane-point interaction transformer
BibRef
Wang, J.L.[Ji-Long],
Gao, W.[Wei],
Li, G.[Ge],
Zoom to Perceive Better: No-Reference Point Cloud Quality Assessment
via Exploring Effective Multiscale Feature,
CirSysVideo(34), No. 7, July 2024, pp. 6334-6346.
IEEE DOI Code:
WWW Link.
2407
Point cloud compression, Feature extraction, Measurement,
Quality assessment, Three-dimensional displays, deep learning
BibRef
Xie, W.[Wuyuan],
Liu, Y.H.[Yun-Heng],
Wang, K.[Kaiming],
Wang, M.[Miaohui],
LLM-Guided Cross-Modal Point Cloud Quality Assessment:
A Graph Learning Approach,
SPLetters(31), 2024, pp. 2250-2254.
IEEE DOI
2410
Feature extraction, Quality assessment, Visualization,
Point cloud compression, Loss measurement, Accuracy,
point cloud quality assessment
BibRef
Chen, W.[Wu],
Jiang, Q.P.[Qiu-Ping],
Zhou, W.[Wei],
Xu, L.[Long],
Lin, W.S.[Wei-Si],
Dynamic Hypergraph Convolutional Network for No-Reference Point Cloud
Quality Assessment,
CirSysVideo(34), No. 10, October 2024, pp. 10479-10493.
IEEE DOI Code:
WWW Link.
2411
Point cloud compression, Measurement,
Convolutional neural networks, Feature extraction, quality assessment
BibRef
Chen, W.[Wu],
Jiang, Q.P.[Qiu-Ping],
Zhou, W.[Wei],
Shao, F.[Feng],
Zhai, G.T.[Guang-Tao],
Lin, W.S.[Wei-Si],
No-Reference Point Cloud Quality Assessment via Graph Convolutional
Network,
MultMed(27), 2025, pp. 2489-2502.
IEEE DOI
2505
Point cloud compression, Feature extraction, Measurement,
Image color analysis, Visualization, Distortion, quality assessment
See also DTSN: No-Reference Image Quality Assessment via Deformable Transformer and Semantic Network.
See also Blind Omnidirectional Image Quality Assessment with Viewport Oriented Graph Convolutional Networks.
BibRef
Zhou, Y.J.[Ying-Jie],
Zhang, Z.C.[Zi-Cheng],
Sun, W.[Wei],
Min, X.K.[Xiong-Kuo],
Zhai, G.T.[Guang-Tao],
CT-PCQA: A Convolutional Neural Network and Transformer combined
Method for Point Cloud Quality Assessment,
SP:IC(138), 2025, pp. 117371.
Elsevier DOI Code:
WWW Link.
2509
Point Cloud, Quality Assessment, Projection-based,
Full-reference, No-reference
BibRef
Zhu, L.X.[Lin-Xia],
Cheng, J.[Jun],
Wang, X.[Xu],
Su, H.L.[Hong-Lei],
Yang, H.[Huan],
Yuan, H.[Hui],
Korhonen, J.[Jari],
3DTA: No-Reference 3D Point Cloud Quality Assessment With Twin
Attention,
MultMed(26), 2024, pp. 10489-10502.
IEEE DOI
2411
Point cloud compression, Feature extraction, Task analysis,
Quality assessment, Measurement, Predictive models, Deep learning,
point cloud quality assessment
BibRef
Cui, M.[Mao],
Zhang, Y.[Yun],
Fan, C.L.[Chun-Ling],
Hamzaoui, R.[Raouf],
Li, Q.[Qinglan],
Colored Point Cloud Quality Assessment Using Complementary Features
in 3D and 2D Spaces,
MultMed(26), 2024, pp. 11111-11125.
IEEE DOI
2412
Point cloud compression, Feature extraction, Visualization,
Measurement, Distortion, Distortion measurement,
visual quality
BibRef
Watanabe, R.[Ryosuke],
Sridhara, S.N.[Shashank N.],
Hong, H.R.[Hao-Ran],
Pavez, E.[Eduardo],
Nonaka, K.[Keisuke],
Kobayashi, T.[Tatsuya],
Ortega, A.[Antonio],
Full reference point cloud quality assessment using support vector
regression,
SP:IC(131), 2025, pp. 117239.
Elsevier DOI Code:
WWW Link.
2501
BibRef
Earlier: A1, A5, A4, A6, A7, Only:
Full-Reference Point Cloud Quality Assessment Using Spectral Graph
Wavelets,
ICIP24(3313-3319)
IEEE DOI
2411
Point cloud quality assessment, Full-reference,
Support vector regression, Graph signal processing.
Measurement, Point cloud compression, Support vector machines,
Accuracy, Image color analysis, Noise reduction,
support vector regression
BibRef
Zhang, Y.J.[Yu-Jie],
Yang, Q.[Qi],
Shan, Z.Y.[Zi-Yu],
Xu, Y.L.[Yi-Ling],
Asynchronous Feedback Network for Perceptual Point Cloud Quality
Assessment,
CirSysVideo(35), No. 4, April 2025, pp. 3693-3705.
IEEE DOI Code:
WWW Link.
2504
Feature extraction, Point cloud compression, Semantics,
Quality assessment, Convolution, Visualization, Visual perception,
coarse-to-fine learning
BibRef
Zhou, X.M.[Xue-Mei],
Alexiou, E.[Evangelos],
Viola, I.[Irene],
Cesar, P.[Pablo],
PointPCA+: A full-reference Point Cloud Quality Assessment metric
with PCA-based features,
SP:IC(135), 2025, pp. 117262.
Elsevier DOI Code:
WWW Link.
2504
Point cloud, Perceptual Quality Assessment, PCA, Full-reference,
Feature selection, Random forest
BibRef
Su, Z.Y.[Zhi-Yong],
Xie, B.X.[Bing-Xu],
Li, Z.[Zheng],
Wu, J.C.[Jin-Can],
Li, W.Q.[Wei-Qing],
The Worse the Better: Content-Aware Viewpoint Generation Network for
Projection-Related Point Cloud Quality Assessment,
CirSysVideo(35), No. 7, July 2025, pp. 6616-6627.
IEEE DOI Code:
WWW Link.
2507
Point cloud compression, Feature extraction, Quality assessment,
Training, Image color analysis, Sensors,
viewpoint selection
BibRef
Fang, J.[Jing],
Liu, Q.[Qi],
Su, H.L.[Hong-Lei],
Liu, H.[Hao],
Yuan, H.[Hui],
Perception-Weighted Multi-View Point Cloud Quality Assessment With
Saliency-Guided Coverage Analysis,
SPLetters(32), 2025, pp. 2903-2907.
IEEE DOI
2509
Image color analysis, Visualization, Feature extraction,
Point cloud compression, Frequency modulation, human visual system
BibRef
Chen, Z.[Zhang],
Wan, S.[Shuai],
Ren, S.[Siyu],
Yang, F.Z.[Fu-Zheng],
Yu, M.T.[Meng-Ting],
Hou, J.H.[Jun-Hui],
RBFIM: Perceptual Quality Assessment for Compressed Point Clouds
Using Radial Basis Function Interpolation,
MultMed(27), 2025, pp. 8579-8591.
IEEE DOI
2511
Point cloud compression, Geometry, Feature extraction, Distortion,
Measurement, Quality assessment, Distortion measurement,
point cloud compression
BibRef
Duan, D.S.[Dong-Shuai],
Su, H.L.[Hong-Lei],
Liu, Q.[Qi],
Yuan, H.[Hui],
Wang, Z.[Zhou],
DQP-PCQA: Deep Quantization Parameters Bring New Insight to Point
Cloud Quality Assessment,
CirSysVideo(35), No. 12, December 2025, pp. 12251-12264.
IEEE DOI Code:
WWW Link.
2512
Feature extraction, Quantization (signal), Solid modeling,
Image color analysis, Point cloud compression, Distortion,
quantization parameter
BibRef
Ming, R.[Ruiyu],
Yin, H.B.[Hai-Bing],
Huang, X.F.[Xiao-Feng],
Dong, W.F.[Wei-Feng],
Lu, H.[Hang],
Wang, H.[Hongkui],
No reference Point Cloud Quality Assessment via cross-modal learning
and contrastive enhancement,
IVC(164), 2025, pp. 105788.
Elsevier DOI Code:
WWW Link.
2512
Point cloud, Quality assessment, Multi-modal, Contrastive loss,
Multi-projections
BibRef
Shan, Z.Y.[Zi-Yu],
Zhang, Y.J.[Yu-Jie],
Yang, Q.[Qi],
Yang, H.C.[Hai-Chen],
Xu, Y.L.[Yi-Ling],
Hwang, J.N.[Jenq-Neng],
Xu, X.Z.[Xiao-Zhong],
Liu, S.[Shan],
Contrastive Pre-Training with Multi-View Fusion for No-Reference
Point Cloud Quality Assessment,
CVPR24(25942-25951)
IEEE DOI
2410
Point cloud compression, Philosophical considerations,
Computational modeling, Contrastive learning, Benchmark testing, Distortion
BibRef
Yang, Q.[Qi],
Liu, Y.P.[Yi-Peng],
Chen, S.[Siheng],
Xu, Y.L.[Yi-Ling],
Sun, J.[Jun],
No-Reference Point Cloud Quality Assessment via Domain Adaptation,
CVPR22(21147-21156)
IEEE DOI
2210
Point cloud compression, Measurement, Solid modeling, Databases,
Transfer learning, Media, Datasets and evaluation,
Self- semi- meta- unsupervised learning
BibRef
Prazeres, J.[João],
Pereira, M.[Manuela],
Pinheiro, A.M.G.[Antonio M. G.],
Subjective Quality Evaluation of Point Clouds with 3D Stereoscopic
Visualization,
ICIP22(2861-2865)
IEEE DOI
2211
Point cloud compression, Measurement, Visualization, Codecs,
Image coding, Correlation, Point cloud quality, Point cloud coding
BibRef
Tliba, M.[Marouane],
Chetouani, A.[Aladine],
Valenzise, G.[Giuseppe],
Dufaux, F.[Fréderic],
Representation Learning Optimization for 3D Point Cloud Quality
Assessment Without Reference,
ICIP22(3702-3706)
IEEE DOI
2211
Point cloud compression, Training, Representation learning,
Solid modeling, Image coding, Computational modeling,
Unsupervised Learning
BibRef
Chapter on 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing continues in
Curvature and Features of Surfaces and Range Data .