11.2.1.2.3 Feature Extraction and Processing on Mesh Representation

Fournier, M.[Marc],
Automatic Grid Resolution And Efficient Triangulation of Implicit Vector Field,
SIIMS(3), No. 3, 2010, pp. 564-577.
DOI Link implicit vector field; distance transform; automatic grid resolution; volume-based triangulation; marching cube adaptation; error metric evaluation. Vector field distance transform of triangle meshes BibRef 1000

Yamazaki, I.[Ichitaro], Natarajan, V.[Vijay], Bai, Z.J.[Zhao-Jun], Hamann, B.[Bernd],
Segmenting point-sampled surfaces,
VC(26), No. 12, December 2010, pp. 1421-1533.
WWW Link. 1101
BibRef

Benhabiles, H.[Halim], Vandeborre, J.P.[Jean-Philippe], Lavoué, G.[Guillaume], Daoudi, M.[Mohamed],
A comparative study of existing metrics for 3D-mesh segmentation evaluation,
VC(26), No. 12, December 2010, pp. 1451-1466.
WWW Link. 1101
BibRef

Benhabiles, H.[Halim], Lavoué, G.[Guillaume], Vandeborre, J.P.[Jean-Philippe], Daoudi, M.[Mohamed],
Kinematic Skeleton Extraction Based On Motion Boundaries for 3D Dynamic Meshes,
3DOR12(71-76)
DOI Link 1301
BibRef

Tychonievich, L.A., Jones, M.D.,
Delaunay deformable mesh for the weathering and erosion of 3D terrain,
VC(26), No. 12, December 2010, pp. 1485-1495.
WWW Link. 1101
BibRef

Attene, M.[Marco],
A lightweight approach to repairing digitized polygon meshes,
VC(26), No. 11, November 2010, pp. 1393-1406.
WWW Link. 1101
BibRef

Tu, S.C.[Shih-Chun], Tai, W.K.[Wen-Kai], Isenburg, M.[Martin], Chang, C.C.[Chin-Chen],
An improved data hiding approach for polygon meshes,
VC(26), No. 9, September 2010, pp. 1177-1181.
WWW Link. 1101
BibRef

Zhang, Y.[Ying], Ben Hamza, A.[Abdessamad],
Vertex-Based Diffusion for 3-D Mesh Denoising,
IP(16), No. 4, April 2007, pp. 1036-1045.
IEEE DOI 0704
Mesh smoothing to preserve geometric structure.
See also Geodesic Matching of Triangulated Surfaces. BibRef

Tarmissi, K.[Khaled], Ben Hamza, A.[Abdessamad],
Multivariate kernel diffusion for surface denoising,
SIViP(5), No. 2, June 2011, pp. 191-201.
WWW Link. 1101
BibRef
Earlier:
Feature-preserving kernel diffusion for surface denoising,
ICIP09(2973-2976).
IEEE DOI 0911
BibRef

Kacem, A.[Anis], Ben Hamza, A.[Abdessamad],
Fast Surface Denoising Using Finite Volumes of the Dual Mesh,
CRV12(70-77).
IEEE DOI 1207
BibRef

Kacem, A.[Anis], Mohamed, W.[Waleed], Ben Hamza, A.,
Spectral Geometric Descriptor for Deformable 3D Shape Matching and Retrieval,
ICIAR13(181-188).
Springer DOI 1307
BibRef

Wang, R.F., Wang, Q., Xue, B.B., Yang, Q., Li, J.F.,
Simplification of point-sampled geometry with feature preservation,
IET-IPR(5), No. 4, 2011, pp. 299-305.
DOI Link 1106
BibRef

Seiler, M.[Martin], Steinemann, D.[Denis], Spillmann, J.[Jonas], Harders, M.[Matthias],
Robust interactive cutting based on an adaptive octree simulation mesh,
VC(27), No. 6-8, June 2011, pp. 519-529.
WWW Link. 1107
BibRef

Sipiran, I.[Ivan], Bustos, B.[Benjamin],
Harris 3D: a robust extension of the Harris operator for interest point detection on 3D meshes,
VC(27), No. 11, November 2011, pp. 963-976.
WWW Link. 1112
BibRef

Sipiran, I.[Ivan], Bustos, B.[Benjamin],
Key-components: detection of salient regions on 3D meshes,
VC(29), No. 12, December 2013, pp. 1319-1332.
WWW Link. 1312
BibRef
Earlier:
Key-Component Detection On 3d Meshes Using Local Features,
3DOR12(25-32)
DOI Link 1301
BibRef
Earlier:
A Robust 3d Interest Points Detector Based On Harris Operator,
EG3DOR10(7-14)
DOI Link 1301
BibRef

Kudelski, D.[Dimitri], Viseur, S.[Sophie], Scrofani, G.[Giovanni], Mari, J.L.[Jean-Luc],
Feature Line Extraction On Meshes Through Vertex Marking And 2d Topological Operators,
IJIG(11), No. 4, October 2011, pp. 531-548.
DOI Link 1201
BibRef

Kudelski, D.[Dimitri], Viseur, S.[Sophie], Mari, J.L.[Jean-Luc],
Skeleton Extraction of Vertex Sets Lying on Arbitrary Triangulated 3D Meshes,
DGCI13(203-214).
Springer DOI 1304
BibRef

Li, Z.[Zhong], Jin, Y.[Yao], Jin, X.G.[Xiao-Gang], Ma, L.Z.[Li-Zhuang],
Approximate straightest path computation and its application in parameterization,
VC(28), No. 1, January 2012, pp. 63-74.
WWW Link. 1201
Between 2 vertices on a mesh. BibRef

Shi, Z.F.[Zhen-Feng], Le, D.[Dan], Yu, L.Y.[Li-Yang], Niu, X.[Xiamu],
3D Mesh Segmentation Based on Markov Random Fields and Graph Cuts,
IEICE(E95-D), No. 2, February 2012, pp. 703-706.
WWW Link. 1202
BibRef

Camelli, F.[Fernando], Lien, J.M.[Jyh-Ming], Shen, D.Y.[Da-Yong], Wong, D.W.[David W.], Rice, M.[Matthew], Löhner, R.[Rainald], Yang, C.W.[Chao-Wei],
Generating seamless surfaces for transport and dispersion modeling in GIS,
GeoInfo(16), No. 2, April 2012, pp. 307-327.
WWW Link. 1202
TIN for entire terrain. Seamless buildings and terrain. BibRef

Darom, T., Keller, Y.,
Scale-Invariant Features for 3-D Mesh Models,
IP(21), No. 5, May 2012, pp. 2758-2769.
IEEE DOI 1204
BibRef

Noel, G.[Guillaume], Djouani, K.[Karim], van Wyk, B.J.[Barend J.], Hamam, Y.[Yskandar],
Bilateral mesh filtering,
PRL(33), No. 9, 1 July 2012, pp. 1101-1107.
Elsevier DOI 1202
Bilateral filter; Laplacian smoothing; Graph-based image processing BibRef

Hamam, Y.[Yskandar], Couprie, M.[Michel],
An Optimisation-Based Approach to Mesh Smoothing: Reformulation and Extensions,
GbRPR09(31-41).
Springer DOI 0905
BibRef

Lipman, Y.,
Bijective Mappings of Meshes with Boundary and the Degree in Mesh Processing,
SIIMS(7), No. 2, 2014, pp. 1263-1283.
DOI Link 1407
BibRef

Chahhou, M.[Mohamed], Moumoun, L.[Lahcen], Far, M.E., Gadi, T.[Taoufiq],
Segmentation of 3D Meshes Using p-Spectral Clustering,
PAMI(36), No. 8, August 2014, pp. 1687-1693.
IEEE DOI 1407
Benchmark testing BibRef

Herouane, O.[Omar], Moumoun, L.[Lahcen], Gadi, T.[Taoufiq], Chahhou, M.[Mohamed],
Labelling and evaluation of 3D objects segmentation using multiclass boosting algorithm,
IJCVR(8), No. 5, 2018, pp. 509-525.
DOI Link 1810
BibRef

Thiery, J.M.[Jean-Marc], Tierny, J.[Julien], Boubekeur, T.[Tamy],
Jacobians and Hessians of mean value coordinates for closed triangular meshes,
VC(30), No. 9, September 2014, pp. 981-995.
WWW Link. 1410
BibRef

Sheffer, A.[Alla], Praun, E.[Emil], Rose, K.[Kenneth],
Mesh Parameterization Methods and Their Applications,
FTCGV(2), Issue 2, 2006, pp. 105-171.
DOI Link 1410
Published February 2007. BibRef

El Ouafdi, A.F., El Houari, H., Ziou, D.,
Anisotropic adaptive method for triangular meshes smoothing,
IET-IPR(9), No. 6, 2015, pp. 516-526.
DOI Link 1507
filtering theory BibRef

Sun, J.[Jian], Wu, T.Q.[Tian-Qi], Gu, X.F.[Xian-Feng], Luo, F.[Feng],
Discrete Conformal Deformation: Algorithm and Experiments,
SIIMS(8), No. 3, 2015, pp. 1421-1456.
DOI Link 1511
BibRef

Mykhalchuk, V.[Vasyl], Seo, H.[Hyewon], Cordier, F.[Frederic],
On spatio-temporal feature point detection for animated meshes,
VC(31), No. 11, November 2015, pp. 1471-1486.
Springer DOI 1512
BibRef

Luo, G.L.[Guo-Liang], Cordier, F.[Frederic], Seo, H.[Hyewon],
Spatio-temporal segmentation for the similarity measurement of deforming meshes,
VC(32), No. 2, February 2016, pp. 243-256.
Springer DOI 1602
BibRef

McGraw, T.[Tim], Kang, J.[Jisun], Herring, D.[Donald],
Sparse Non-Negative Matrix Factorization for Mesh Segmentation,
IJIG(16), No. 01, 2016, pp. 1650004.
DOI Link 1603
BibRef

Qian, G.P.[Gui-Ping], Tang, M.[Min], Tong, R.F.[Ruo-Feng], Zhang, X.H.[Xiao-Hong], Pan, R.F.[Rui-Fang],
Interactive mesh cloning driven by boundary loop,
VC(32), No. 4, April 2016, pp. 513-521.
Springer DOI 1604
BibRef

Liu, X.P.[Xiu-Ping], Tao, P.P.[Ping-Ping], Cao, J.J.[Jun-Jie], Chen, H.[He], Zou, C.Q.[Chang-Qing],
Mesh saliency detection via double absorbing Markov chain in feature space,
VC(32), No. 9, September 2016, pp. 1121-1132.
WWW Link. 1609
BibRef

Rouhani, M.[Mohammad], Lafarge, F.[Florent], Alliez, P.[Pierre],
Semantic segmentation of 3D textured meshes for urban scene analysis,
PandRS(123), No. 1, 2017, pp. 124-139.
Elsevier DOI 1612
Semantic segmentation BibRef

Chaton, T., Chaulet, N., Horache, S., Landrieu, L.,
Torch-Points3D: A Modular Multi-Task Framework for Reproducible Deep Learning on 3D Point Clouds,
3DV20(1-10)
IEEE DOI 2102
Task analysis, Solid modeling, Convolution, Deep learning, Transforms, Object detection BibRef

Landrieu, L.[Loïc], Raguet, H.[Hugo], Vallet, B.[Bruno], Mallet, C.[Clément], Weinmann, M.[Martin],
A structured regularization framework for spatially smoothing semantic labelings of 3D point clouds,
PandRS(132), No. 1, 2017, pp. 102-118.
Elsevier DOI 1710
Semantic labeling BibRef

Jeong, S.W., Sim, J.Y.,
Saliency Detection for 3D Surface Geometry Using Semi-regular Meshes,
MultMed(19), No. 12, December 2017, pp. 2692-2705.
IEEE DOI 1712
Computational modeling, Feature extraction, Geometry, Solid modeling, Surface treatment, view-dependent saliency BibRef

Zhang, H.[Huayan], Wu, C.L.[Chun-Lin], Deng, J.S.[Jian-Song], Liu, Z.[Zheng], Yang, Y.N.[Yu-Ning],
A new two-stage mesh surface segmentation method,
VC(34), No. 11, November 2018, pp. 1597-1615.
WWW Link. 1810
BibRef

Dhibi, N.[Naziha], Ben Amar, C.[Chokri],
Multi-mother wavelet neural network-based on genetic algorithm and multiresolution analysis for fast 3D mesh deformation,
IET-IPR(13), No. 13, November 2019, pp. 2480-2486.
DOI Link 1911
BibRef

Fotopoulou, F.[Foteini], Psarakis, E.Z.[Emmanouil Z.],
An improved 3D shape visibility graph with application to mesh segmentation,
SP:IC(88), 2020, pp. 115980.
Elsevier DOI 2009
Graph clustering, Mesh segmentation, Visibility, Geodesic BibRef

Tortorici, C.[Claudio], Berretti, S.[Stefano], Obeid, A.[Ahmad], Werghi, N.[Naoufel],
Convolution operations for relief-pattern retrieval, segmentation and classification on mesh manifolds,
PRL(142), 2021, pp. 32-38.
Elsevier DOI 2101
Mesh convolution, Mesh segmentation, Relief pattern retrieval, Relief pattern classification BibRef

Liu, Y.W.[Ya-Wen], Guo, B.X.[Bing-Xuan], Xiao, X.W.[Xiong-Wu], Qiu, W.[Wei],
3D Mesh Pre-Processing Method Based on Feature Point Classification and Anisotropic Vertex Denoising Considering Scene Structure Characteristics,
RS(13), No. 11, 2021, pp. xx-yy.
DOI Link 2106
BibRef

Tang, W.M.[Wen-Ming], Qiu, G.P.[Guo-Ping],
Dense graph convolutional neural networks on 3D meshes for 3D object segmentation and classification,
IVC(114), 2021, pp. 104265.
Elsevier DOI 2109
3D meshes, Graph neural network, Densely connected, Classification, Segmentation BibRef

Zhao, W.B.[Wen-Bo], Liu, X.M.[Xian-Ming], Zhao, Y.S.[Yong-Sen], Fan, X.P.[Xiao-Peng], Zhao, D.B.[De-Bin],
NormalNet: Learning-Based Mesh Normal Denoising via Local Partition Normalization,
CirSysVideo(31), No. 12, December 2021, pp. 4697-4710.
IEEE DOI 2112
Noise reduction, Faces, Training, Computational modeling, Transforms, Training data, Mesh denoising, normalization BibRef

Zhang, H.Y.[Hua-Yan], He, Z.S.[Zhi-Shuai], Wang, X.C.[Xiao-Chao],
A Novel Mesh Denoising Method Based on Relaxed Second-Order Total Generalized Variation,
SIIMS(15), No. 1, 2022, pp. 1-22.
DOI Link 2204
BibRef

Tan, Q.Y.[Qing-Yang], Zhang, L.X.[Ling-Xiao], Yang, J.[Jie], Lai, Y.K.[Yu-Kun], Gao, L.[Lin],
Variational Autoencoders for Localized Mesh Deformation Component Analysis,
PAMI(44), No. 10, October 2022, pp. 6297-6310.
IEEE DOI 2209
Strain, Shape, Principal component analysis, Geometry, Convolution, Solid modeling, 3D meshes, variational autoencoder, sparsity regularization BibRef

Rong, M.Q.[Meng-Qi], Cui, H.N.[Hai-Nan], Hu, Z.Y.[Zhan-Yi], Jiang, H.Q.[Han-Qing], Liu, H.M.[Hong-Min], Shen, S.H.[Shu-Han],
Active Learning Based 3D Semantic Labeling From Images and Videos,
CirSysVideo(32), No. 12, December 2022, pp. 8101-8115.
IEEE DOI 2212
BibRef
Earlier: A1, A6, A3, Only:
3D Semantic Labeling of Photogrammetry Meshes Based on Active Learning,
ICPR21(3550-3557)
IEEE DOI 2105
Semantics, Solid modeling, Image segmentation, Labeling, Image reconstruction, Annotations, Semantic segmentation, active learning. Uncertainty, Semantics, Urban areas BibRef

GAO, W.X.[Wei-Xiao], Nan, L.L.[Liang-Liang], Boom, B.[Bas], Ledoux, H.[Hugo],
PSSNet: Planarity-sensible Semantic Segmentation of large-scale urban meshes,
PandRS(196), 2023, pp. 32-44.
Elsevier DOI 2302
Texture meshes, Semantic segmentation, Over-segmentation, Urban scene understanding BibRef

Fan, X.Q.[Xu-Qian], Gong, W.Y.[Wen-Yong],
Schwarzschild Harmonic Path Planning and Tetrahedral Mesh Smoothing,
SIIMS(16), No. 1, 2023, pp. 568-584.
DOI Link 2305
BibRef

Tang, W.M.[Wen-Ming], Gong, Y.H.[Yuan-Hao], Qiu, G.P.[Guo-Ping],
Feature preserving 3D mesh denoising with a Dense Local Graph Neural Network,
CVIU(233), 2023, pp. 103710.
Elsevier DOI 2307
Graph neural networks, Feature preserving denoising BibRef

Vecchio, G.[Giuseppe], Prezzavento, L.[Luca], Pino, C.[Carmelo], Rundo, F.[Francesco], Palazzo, S.[Simone], Spampinato, C.[Concetto],
MeT: A graph transformer for semantic segmentation of 3D meshes,
CVIU(235), 2023, pp. 103773.
Elsevier DOI 2310
3D mesh segmentation, Graph neural networks, Transformers, 3D meshes, Segmentation BibRef

Yang, Q.[Qi], Jung, J.[Joel], Xu, X.Z.[Xiao-Zhong], Liu, S.[Shan],
GeodesicPSIM: Predicting the Quality of Static Mesh With Texture Map via Geodesic Patch Similarity,
IP(34), 2025, pp. 44-59.
IEEE DOI Code:
WWW Link. 2501
Measurement, Feature extraction, Faces, Image color analysis, Distortion, Geometry, Prediction algorithms, Quality assessment, geodesic patch BibRef

Xie, M.[Min], Zhao, J.[Jieyu], Shen, K.[Kedi],
A Novel SO(3) Rotational Equivariant Masked Autoencoder for 3D Mesh Object Analysis,
CirSysVideo(35), No. 1, January 2025, pp. 329-342.
IEEE DOI 2502
Vectors, Transformers, Convolution, Point cloud compression, Kernel, Neurons, Rotation-equivariance, 3D mesh masked autoencoder, sparse token BibRef

Zhong, Z.M.[Zi-Ming], Xu, Y.[Yanyu], Li, J.[Jing], Xu, J.[Jiale], Li, Z.X.[Zheng-Xin], Yu, C.H.[Chao-Hui], Gao, S.H.[Sheng-Hua],
Meshsegmenter: Zero-shot Mesh Semantic Segmentation via Texture Synthesis,
ECCV24(LXXVII: 182-199).
Springer DOI 2412
BibRef

Fischer, T.[Tom], Liu, Y.Y.[Yao-Yao], Jesslen, A.[Artur], Ahmed, N.[Noor], Kaushik, P.[Prakhar], Wang, A.[Angtian], Yuille, A.L.[Alan L.], Kortylewski, A.[Adam], Ilg, E.[Eddy],
inemo: Incremental Neural Mesh Models for Robust Class-incremental Learning,
ECCV24(LXXVII: 357-374).
Springer DOI 2412
BibRef

Lei, E.[Eric], Lodhi, M.A.[Muhammad Asad], Pang, J.H.[Jia-Hao], Ahn, J.[Junghyun], Tian, D.[Dong],
WrappingNet: Mesh Autoencoder Via Deep Sphere Deformation,
ICIP24(3320-3326)
IEEE DOI Code:
WWW Link. 2411
Point cloud compression, Surface reconstruction, Solid modeling, Codes, Shape, Deformation, Unsupervised mesh learning, mesh deformation BibRef

Shakibajahromi, B.[Bahareh], Kim, E.[Edward], Breen, D.E.[David E.],
RIMeshGNN: A Rotation-Invariant Graph Neural Network for Mesh Classification,
WACV24(3138-3148)
IEEE DOI 2404
Representation learning, Training, Solid modeling, Analytical models, Shape, Graph neural networks, Algorithms, 3D computer vision BibRef

Maruani, N.[Nissim], Klokov, R.[Roman], Ovsjanikov, M.[Maks], Alliez, P.[Pierre], Desbrun, M.[Mathieu],
VoroMesh: Learning Watertight Surface Meshes with Voronoi Diagrams,
ICCV23(14519-14528)
IEEE DOI 2401
BibRef

Babiloni, F.[Francesca], Maggioni, M.[Matteo], Tanay, T.[Thomas], Deng, J.K.[Jian-Kang], Leonardis, A.[Ales], Zafeiriou, S.[Stefanos],
Adaptive Spiral Layers for Efficient 3D Representation Learning on Meshes,
ICCV23(14574-14585)
IEEE DOI Code:
WWW Link. 2401
BibRef

Wong, C.C.[Chi-Chong],
Heat Diffusion Based Multi-Scale and Geometric Structure-Aware Transformer for Mesh Segmentation,
CVPR23(4413-4422)
IEEE DOI 2309
BibRef

ALfarasani, D.A.[Dalia A.], Sweetman, T.[Thomas], Lai, Y.K.[Yu-Kun], Rosin, P.L.[Paul L.],
Learning to Predict 3D Mesh Saliency,
ICPR22(4023-4029)
IEEE DOI 2212
Learning systems, Heating systems, Deep learning, Protocols, Shape, Fuses BibRef

Gangopadhyay, A.[Aalok], Verma, S.[Shashikant], Raman, S.[Shanmuganathan],
DMD-Net: Deep Mesh Denoising Network,
ICPR22(3168-3175)
IEEE DOI 2212
Deep learning, Noise reduction, Feature extraction, Transformers, Noise measurement BibRef

Liang, Y.Q.[Ya-Qian], Zhao, S.S.[Shan-Shan], Yu, B.S.[Bao-Sheng], Zhang, J.[Jing], He, F.[Fazhi],
MeshMAE: Masked Autoencoders for 3D Mesh Data Analysis,
ECCV22(III:37-54).
Springer DOI 2211
BibRef

Hattori, S.[Shota], Yatagawa, T.[Tatsuya], Ohtake, Y.[Yutaka], Suzuki, H.[Hiromasa],
Learning Self-prior for Mesh Denoising Using Dual Graph Convolutional Networks,
ECCV22(III:363-379).
Springer DOI 2211
BibRef

Alcouffe, R.[Remy], Gasparini, S.[Simone], Morin, G.[Géraldine], Chambon, S.[Sylvie],
Blind Quality of a 3D Reconstructed MESH,
ICIP22(3406-3410)
IEEE DOI 2211
Measurement, Solid modeling, Iterative methods, Image reconstruction, 3D mesh, iterative 3D reconstruction BibRef

Li, X.J.[Xiao-Juan], Yang, J.[Jie], Zhang, F.L.[Fang-Lue],
Laplacian Mesh Transformer: Dual Attention and Topology Aware Network for 3D Mesh Classification and Segmentation,
ECCV22(XXIX:541-560).
Springer DOI 2211
BibRef

Kim, T.[Taehun], Kim, J.[Jinseong], Kim, D.J.[Dai-Jin],
SpaceMeshLab: Spatial Context Memoization and Meshgrid Atrous Convolution Consensus for Semantic Segmentation,
ICIP21(2259-2263)
IEEE DOI 2201
Dimensionality reduction, Image segmentation, Convolution, Shape, Semantics, Transfer learning, Semantic segmentation, Self attention BibRef

Singh, V.V.[Vinit Veerendraveer], Sheshappanavar, S.V.[Shivanand Venkanna], Kambhamettu, C.[Chandra],
Mesh Classification With Dilated Mesh Convolutions,
ICIP21(3138-3142)
IEEE DOI 2201
Convolutional codes, Deep learning, Monte Carlo methods, Shape, Image processing, Dilated Convolution, Mesh Representation, 3D Shape Classification BibRef

Huska, M.[Martin], Morigi, S.[Serena], Recupero, G.A.[Giuseppe Antonio],
Sparsity-aided Variational Mesh Restoration,
SSVM21(437-449).
Springer DOI 2106
BibRef

Taha, B., Hayat, M., Berretti, S., Werghi, N.,
Fused Geometry Augmented Images For Analyzing Textured Mesh,
ICIP20(2651-2655)
IEEE DOI 2011
Image representation, mesh surface analysis, surface classification, learned features BibRef

Tortorici, C., Werghi, N., Berretti, S.,
CSIOR: An Algorithm For Ordered Triangular Mesh Regularization,
ICIP20(2696-2700)
IEEE DOI 2011
Shape, Surface texture, Corrugated surfaces, Manifolds, Relief Patterns BibRef

El Hassouni, M.[Mohammed], Cherifi, H.[Hocine],
Learning Graph Features for Colored Mesh Visual Quality Assessment,
ICIP22(3381-3385)
IEEE DOI 2211
Representation learning, Weight measurement, Visualization, Correlation, Image color analysis, Visual systems, Weighted graph, colored mesh BibRef

Abouelaziz, I., Chetouani, A., El Hassouni, M.[Mohammed], Latecki, L.J., Cherifi, H.[Hocine],
Combination Of Handcrafted And Deep Learning-Based Features For 3d Mesh Quality Assessment,
ICIP20(171-175)
IEEE DOI 2011
Visualization, Feature extraction, Quality assessment, Databases, Correlation, Training, Fine-tuning, statistical distribution. BibRef

Liu, S.L.[Shi-Lin], Guo, H.X.[Hao-Xiang], Pan, H.[Hao], Wang, P.S.[Peng-Shuai], Tong, X.[Xin], Liu, Y.[Yang],
Deep Implicit Moving Least-Squares Functions for 3D Reconstruction,
CVPR21(1788-1797)
IEEE DOI 2111
Geometry, Deep learning, Learning systems, Runtime, Shape BibRef

Yang, Y.Q.[Yu-Qi], Liu, S.L.[Shi-Lin], Pan, H.[Hao], Liu, Y.[Yang], Tong, X.[Xin],
PFCNN: Convolutional Neural Networks on 3D Surfaces Using Parallel Frames,
CVPR20(13575-13584)
IEEE DOI 2008
Convolution, Standards, Kernel, Geometry, Feature extraction BibRef

Gong, S., Chen, L., Bronstein, M.M., Zafeiriou, S.P.,
SpiralNet++: A Fast and Highly Efficient Mesh Convolution Operator,
GMDL19(4141-4148)
IEEE DOI 2004
convolution, image classification, image reconstruction, learning (artificial intelligence), fast convolution operator, 3D Shape Reconstruction BibRef

Li, S.W.[Shi-Wei], Luo, Z.X.[Zi-Xin], Zhen, M.M.[Ming-Min], Yao, Y.[Yao], Shen, T.W.[Tian-Wei], Fang, T.[Tian], Quan, L.[Long],
Cross-Atlas Convolution for Parameterization Invariant Learning on Textured Mesh Surface,
CVPR19(6136-6145).
IEEE DOI 2002
BibRef

Huang, J.W.[Jing-Wei], Zhang, H.T.[Hao-Tian], Yi, L.[Li], Funkhouser, T.[Thomas], Niessner, M.[Matthias], Guibas, L.J.[Leonidas J.],
TextureNet: Consistent Local Parametrizations for Learning From High-Resolution Signals on Meshes,
CVPR19(4435-4444).
IEEE DOI 2002
Features from high resolution surfaces. BibRef

Du, A., Huang, X., Zhang, J., Yao, L., Wu, Q.,
Kpsnet: Keypoint Detection and Feature Extraction for Point Cloud Registration,
ICIP19(2576-2580)
IEEE DOI 1910
3D keypoints, point cloud registration, deep learning BibRef

Bougleux, S., Lézoray, O., Nouri, A.,
3D Colored Mesh Structure-Preserving Filtering with Adaptive P-Laplacian on Directed Graphs,
ICIP19(4380-4384)
IEEE DOI 1910
3D colored meshes, graph signal, structure preserving filtering, p-Laplacian BibRef

Xu, M., Yu, Z.,
3D image segmentation based on feature-sensitive and adaptive tetrahedral meshes,
ICIP16(854-858)
IEEE DOI 1610
Biomedical engineering BibRef

Nouri, A., Charrier, C., Lezoray, O.,
Global visual saliency: Geometric and colorimetrie saliency fusion and its applications for 3D colored meshes,
IPTA17(1-6)
IEEE DOI 1804
BibRef
Earlier:
Full-reference saliency-based 3D mesh quality assessment index,
ICIP16(1007-1011)
IEEE DOI 1610
computational geometry, feature extraction, image colour analysis, image denoising, image fusion, Global saliency BibRef

Abouelaziz, I.[Ilyass], El Hassouni, M.[Mohammed], Cherifi, H.[Hocine],
No-Reference 3D Mesh Quality Assessment Based on Dihedral Angles Model and Support Vector Regression,
ICISP16(369-377).
WWW Link. 1606
BibRef

Apaza-Aguero, K.[Karl], Silva, L.[Luciano], Bellon, O.R.P.[Olga R.P.],
Mesh segmentation with connecting parts for 3D object prototyping,
ICIP15(16-20)
IEEE DOI 1512
3D printing; 3D reconstruction; 3D scanning; mesh segmentation BibRef

El Ouafdi, A.F., El Houari, H.,
Adaptive kernel for triangular meshes smoothing,
ISCV15(1-7)
IEEE DOI 1506
covariance matrices BibRef

Dutta, S.[Somnath], Banerjee, S.[Sumandeep], Biswas, P.K.[Prabir K.], Bhowmick, P.[Partha],
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Mocanu, B.[Bogdan], Zaharia, T.[Titus],
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McInerney, T., Crawford, P.,
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Wang, J.[Jun], Yu, Z.Y.[Ze-Yun],
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Hao, A.[Aimin], Wang, Z.[Zhen], Li, S.[Shuai], Song, F.[Feng],
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Fan, J.H.[Jian-Hua], Peters, J.[Jörg],
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Zhang, X.[Xi], Li, G.Q.[Gui-Qing], Xiong, Y.H.[Yun-Hui], He, F.H.[Feng-Hua],
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Earlier:
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Zhang, Y., Paik, J., Koschan, A.F., Abidi, M.A., Gorsich, D.,
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Sukumar, S.R.[Sreenivas R.], Page, D.L.[David L.], Bozdogan, H.[Hamparsum], Koschan, A.F.[Andreas F.], Abidi, M.A.[Mongi A.],
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Sukumar, S.R.[Sreenivas R.], Page, D.L.[David L.], Gribok, A.V.[Andrei V.], Koschan, A.F.[Andreas F.], Abidi, M.A.[Mongi A.],
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Page, D.L., Koschan, A.F., Sukumar, S.R., Abidi, B.R.[B. Roui], Abidi, M.A.,
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Danovaro, E.[Emanuele], de Floriani, L.[Leila],
Half-edge multi-tessellation: compact representation for multi-resolution tetrahedral meshes,
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Chapter on 3-D Object Description and Computation Techniques, Surfaces, Deformable, View Generation, Video Conferencing continues in
Hierarchical Mesh Representations, Multi-Resolution Mesh Algorithms .

Last update:Mar 17, 2025 at 20:02:03