22.4.1.6 Human Body Shape

Chapter Contents (Back)
Human Shape. Body Shape. More model generation:
See also Human Models, 3-D Human Modeling. A subset of:
See also Human Posture, or Human Pose, Human Body Pose.
See also Articulated Human Pose Desicriptions.
See also Human Mesh Descriptions.
See also Human Body Parsing, Body Parts.

Wen, L.Y.[Ling-Yun], Guo, G.D.[Guo-Dong],
A computational approach to body mass index prediction from face images,
IVC(31), No. 5, May 2013, pp. 392-400.
Elsevier DOI 1305
Body mass index (BMI); Facial features; BMI prediction; Machine vision; Large database BibRef

Jiang, M.[Min], Shang, Y.Y.[Yuan-Yuan], Guo, G.D.[Guo-Dong],
Computational approach to body mass index estimation from dressed people in 3D space,
IET-IPR(14), No. 7, 29 May 2020, pp. 1248-1256.
DOI Link 2005
BibRef

Gonzalez-Sosa, E.[Ester], Vera-Rodriguez, R.[Ruben], Fierrez, J.[Julian], Moreno-Moreno, M.[Miriam], Ortega-Garcia, J.[Javier],
Feature exploration for biometric recognition using millimetre wave body images,
JIVP(2015), No. 1, 2015, pp. 30.
DOI Link 1509
BibRef
Earlier: A1, A2, A3, A5, Only:
Comparison of Body Shape Descriptors for Biometric Recognition Using MMW Images,
ICPR14(124-129)
IEEE DOI 1412
Biomedical imaging BibRef

Vera-Rodriguez, R.[Ruben], Gonzalez-Sosa, E.[Ester], Hernandez-Ortega, J.[Javier], Fierrez, J.[Julian],
Body Shape-Based Biometric Person Recognition from mmW Images,
IbPRIA17(453-461).
Springer DOI 1706
BibRef

Huang, B.Z.[Bu-Zhen], Zhang, T.S.[Tian-Shu], Wang, Y.G.[Yan-Gang],
Object-Occluded Human Shape and Pose Estimation With Probabilistic Latent Consistency,
PAMI(45), No. 4, April 2023, pp. 5010-5026.
IEEE DOI 2303
BibRef
Earlier: A2, A1, A3:
Object-Occluded Human Shape and Pose Estimation From a Single Color Image,
CVPR20(7374-7383)
IEEE DOI 2008
Shape, Color, Training, Pose estimation, Image reconstruction, Face recognition, 3-D human shape and pose estimation, inpainting. Shape, Color, Training, Pose estimation BibRef

Jiang, M.[Min], Guo, G.D.[Guo-Dong], Mu, G.W.[Guo-Wang],
Visual BMI estimation from face images using a label distribution based method,
CVIU(197-198), 2020, pp. 102985.
Elsevier DOI 2008
Visual BMI estimation, Label distribution based method, Two-stage learning framework BibRef

Zou, S.H.[Shi-Hao], Zuo, X.X.[Xin-Xin], Qian, Y.M.[Yi-Ming], Wang, S.[Sen], Xu, C.[Chi], Gong, M.L.[Ming-Lun], Cheng, L.[Li],
3d Human Shape Reconstruction from a Polarization Image,
ECCV20(XIV:351-368).
Springer DOI 2011
BibRef

Zhao, Y., Dou, Y., Feng, J.,
Temporally Refined Graph U-Nets for Human Shape and Pose Estimation From Monocular Videos,
SPLetters(27), 2020, pp. 1949-1953.
IEEE DOI 2011
Shape, Videos, Solid modeling, residual temporal graph CNN BibRef

Li, K.[Kun], Wen, H.[Hao], Feng, Q.[Qiao], Zhang, Y.X.[Yu-Xiang], Li, X.Z.[Xiong-Zheng], Huang, J.[Jing], Yuan, C.K.[Cun-Kuan], Lai, Y.K.[Yu-Kun], Liu, Y.B.[Ye-Bin],
Image-Guided Human Reconstruction via Multi-Scale Graph Transformation Networks,
IP(30), 2021, pp. 5239-5251.
IEEE DOI 2106
Shape, Solid modeling, Image reconstruction, Strain, Geometry, Training, dataset BibRef

Rashmi, R.[Richa], Umapathy, S.[Snekhalatha], Krishnan, P.T.[Palani Thanaraj],
Thermal imaging method to evaluate childhood obesity based on machine learning techniques,
IJIST(31), No. 3, 2021, pp. 1752-1768.
DOI Link 2108
childhood obesity, feature extraction, feature fusion, feature ranking, machine learning algorithms, obesity, PCA, thermal imaging BibRef

Dhanamjayulu, C., Nizhal, N.U., Maddikunta, P.K.R.[Praveen Kumar Reddy], Gadekallu, T.R.[Thippa Reddy], Iwendi, C.[Celestine], Wei, C.[Chuliang], Xin, Q.[Qin],
Identification of malnutrition and prediction of BMI from facial images using real-time image processing and machine learning,
IET-IPR(16), No. 3, 2022, pp. 647-658.
DOI Link 2202
BibRef

Jin, Z.[Zhi], Huang, J.J.[Jun-Jia], Xiong, A.[Aolin], Pang, Y.X.[Yu-Xian], Wang, W.J.[Wen-Jin], Ding, B.C.[Bei-Chen],
Attention guided deep features for accurate body mass index estimation,
PRL(154), 2022, pp. 22-28.
Elsevier DOI 2202
Deep features, BMI Estimation, Attention Mechanism, Deep Features BibRef

Zhang, H.W.[Hong-Wen], Cao, J.[Jie], Lu, G.[Guo], Ouyang, W.L.[Wan-Li], Sun, Z.A.[Zhen-An],
Learning 3D Human Shape and Pose From Dense Body Parts,
PAMI(44), No. 5, May 2022, pp. 2610-2627.
IEEE DOI 2204
Shape, Task analysis, Solid modeling, Predictive models, Pose estimation, 3D human shape and pose estimation, part-based dropout BibRef

Guo, H.[Hao], Fan, X.C.[Xiao-Chuan], Wang, S.[Song],
Visual Attention Consistency for Human Attribute Recognition,
IJCV(130), No. 1, January 2022, pp. 1088-1106.
Springer DOI 2204
BibRef

Hu, P.P.[Peng-Peng], Ho, E.S.L.[Edmond Shu-Lim], Munteanu, A.[Adrian],
3DBodyNet: Fast Reconstruction of 3D Animatable Human Body Shape From a Single Commodity Depth Camera,
MultMed(24), No. 2022, pp. 2139-2149.
IEEE DOI 2204
Shape, Image reconstruction, Cameras, Solid modeling, Clothing, Deep learning, Human body shape, Body shape under clothing, deep learning on point clouds BibRef

Zheng, Z.R.[Ze-Rong], Yu, T.[Tao], Liu, Y.B.[Ye-Bin], Dai, Q.H.[Qiong-Hai],
PaMIR: Parametric Model-Conditioned Implicit Representation for Image-Based Human Reconstruction,
PAMI(44), No. 6, June 2022, pp. 3170-3184.
IEEE DOI 2205
Image reconstruction, Surface reconstruction, Solid modeling, Estimation, Training, Shape, implicit surface function BibRef

Tonini, A.[Andrea], Painho, M.[Marco], Castelli, M.[Mauro],
Estimation of Human Body Height Using Consumer-Level UAVs,
RS(14), No. 23, 2022, pp. xx-yy.
DOI Link 2212
BibRef

Kaashki, N.N.[Nastaran Nourbakhsh], Hu, P.P.[Peng-Peng], Munteanu, A.[Adrian],
Anet: A Deep Neural Network for Automatic 3D Anthropometric Measurement Extraction,
MultMed(25), 2023, pp. 831-844.
IEEE DOI 2303
Point cloud compression, Training, Deep learning, Loss measurement, Fitting, Data mining, Anthropometric measurement extraction, template fitting BibRef

Peng, S.[Sida], Geng, C.[Chen], Zhang, Y.Q.[Yuan-Qing], Xu, Y.H.[Ying-Hao], Wang, Q.Q.[Qian-Qian], Shuai, Q.[Qing], Zhou, X.W.[Xiao-Wei], Bao, H.J.[Hu-Jun],
Implicit Neural Representations With Structured Latent Codes for Human Body Modeling,
PAMI(45), No. 8, August 2023, pp. 9895-9907.
IEEE DOI 2307
Codes, Rendering (computer graphics), Geometry, Image reconstruction, Image color analysis, Cameras, novel view synthesis BibRef

Jin, Z.[Zhi], Huang, J.J.[Jun-Jia], Wang, W.J.[Wen-Jin], Xiong, A.[Aolin], Tan, X.J.[Xiao-Jun],
Estimating Human Weight From a Single Image,
MultMed(25), 2023, pp. 2515-2527.
IEEE DOI 2307
Feature extraction, Estimation, Skeleton, Weight measurement, Faces, Extraterrestrial measurements, Arms, Visual estimation of BMI, 2-Dimage-to-BMI dataset BibRef

Yu, C.[Cong], Wu, Z.[Zhi], Zhang, D.H.[Dong-Heng], Lu, Z.[Zhi], Hu, Y.[Yang], Chen, Y.[Yan],
RFGAN: RF-Based Human Synthesis,
MultMed(25), 2023, pp. 2926-2938.
IEEE DOI 2307
RF signals, Radio frequency, Generative adversarial networks, Heating systems, Data models, Predictive models, Optical imaging, RF sensing BibRef

Li, X.[Xihang], Li, G.Q.[Gui-Qin], Li, M.[Ming], Liu, K.L.[Kui-Liang], Mitrouchev, P.[Peter],
3D human body modeling with orthogonal human mask image based on multi-channel Swin transformer architecture,
IVC(137), 2023, pp. 104795.
Elsevier DOI 2309
Body shape space, Human shape estimation, Orthogonal human mask, Swin transformer, Body shape classification BibRef

Kim, J.[Jeonghwan], Um, G.M.[Gi-Mun], Seo, J.[Jeongil], Kim, W.J.[Won-Jun],
Part-attentive kinematic chain-based regressor for 3D human modeling,
JVCIR(95), 2023, pp. 103881.
Elsevier DOI 2309
3D human modeling, Deep Neural Networks, Body part attentions, Kinematic chain-based decoder BibRef

Zhang, H.R.[Hong-Run], Meng, Y.[Yanda], Zhao, Y.T.[Yi-Tian], Qian, X.S.[Xue-Sheng], Qiao, Y.H.[Yi-Hong], Yang, X.Y.[Xiao-Yun], Zheng, Y.L.[Ya-Lin],
3D Human Pose and Shape Reconstruction From Videos via Confidence-Aware Temporal Feature Aggregation,
MultMed(25), 2023, pp. 3868-3880.
IEEE DOI 2310
BibRef


Hartman, E.[Emmanuel], Pierson, E.[Emery], Bauer, M.[Martin], Charon, N.[Nicolas], Daoudi, M.[Mohamed],
BaRe-ESA: A Riemannian Framework for Unregistered Human Body Shapes,
ICCV23(14135-14145)
IEEE DOI 2401
BibRef

Zhang, Y.F.[Yu-Fei], Wang, H.[Hanjing], Kephart, J.O.[Jeffrey O.], Ji, Q.[Qiang],
Body Knowledge and Uncertainty Modeling for Monocular 3D Human Body Reconstruction,
ICCV23(8986-8998)
IEEE DOI 2401
BibRef

Takmaz, A.[Ayça], Schult, J.[Jonas], Kaftan, I.[Irem], Akçay, M.[Mertcan], Leibe, B.[Bastian], Sumner, R.[Robert], Engelmann, F.[Francis], Tang, S.[Siyu],
3D Segmentation of Humans in Point Clouds with Synthetic Data,
ICCV23(1292-1304)
IEEE DOI 2401
BibRef

Wehrbein, T.[Tom], Rosenhahn, B.[Bodo], Matthews, I.D.[Iain D.], Stoll, C.[Carsten],
Personalized 3D Human Pose and Shape Refinement,
CVMeta23(4191-4201)
IEEE DOI 2401
BibRef

Ho, H.I.[Hsuan-I], Xue, L.X.[Li-Xin], Song, J.[Jie], Hilliges, O.[Otmar],
Learning Locally Editable Virtual Humans,
CVPR23(21024-21035)
IEEE DOI 2309
BibRef

Shetty, K.[Karthik], Birkhold, A.[Annette], Jaganathan, S.[Srikrishna], Strobel, N.[Norbert], Kowarschik, M.[Markus], Maier, A.[Andreas], Egger, B.[Bernhard],
PLIKS: A Pseudo-Linear Inverse Kinematic Solver for 3D Human Body Estimation,
CVPR23(574-584)
IEEE DOI 2309
BibRef

Sarkar, R.[Rohan], Dave, A.[Achal], Medioni, G.[Gerard], Biggs, B.[Benjamin],
Shape of You: Precise 3D shape estimations for diverse body types,
CVFAD23(3520-3524)
IEEE DOI 2309
BibRef

Kim, S.H.[Seung-Hyun], Lee, K.[Kunyoung], Lee, E.C.[Eui Chul],
Multi-View Body Image-Based Prediction of Body Mass Index and Various Body Part Sizes,
CVPM23(6034-6041)
IEEE DOI 2309
BibRef

Shu, H.[Huaijing], Ren, L.R.[Li-Rong], Pan, L.P.[Li-Ping], Huang, D.[Dongmin], Lu, H.Z.[Hong-Zhou], Wang, W.J.[Wen-Jin],
Single Image based Infant Body Height and Weight Estimation,
CVPM23(6052-6059)
IEEE DOI 2309
BibRef

Clever, H.M., Erickson, Z., Kapusta, A., Turk, G., Liu, C.K., Kemp, C.C.,
Bodies at Rest: 3D Human Pose and Shape Estimation From a Pressure Image Using Synthetic Data,
CVPR20(6214-6223)
IEEE DOI 2008
Shape, Solid modeling, Physics, Data models, Biological system modeling, Machine learning BibRef

Mirabet-Herranz, N.[Nelida], Mallat, K.[Khawla], Dugelay, J.L.[Jean-Luc],
New Insights on Weight Estimation from Face Images,
FG23(1-6)
IEEE DOI 2303
Weight measurement, Performance evaluation, Hair, Road accidents, Protocols, Face recognition, Transfer learning BibRef

Zhu, H.D.[Hai-Dong], Yuan, Y.[Ye], Zhu, Y.H.[Yi-Heng], Yang, X.[Xiao], Nevatia, R.[Ram],
OPEN: Order-preserving Pointcloud Encoder Decoder Network for Body Shape Refinement,
ICPR22(521-527)
IEEE DOI 2212
Point cloud compression, Deep learning, Shape, Neural networks, Estimation, Image sequences BibRef

Te, G.[Gusi], Li, X.[Xiu], Li, X.[Xiao], Wang, J.L.[Jing-Lu], Hu, W.[Wei], Lu, Y.[Yan],
Neural Capture of Animatable 3D Human from Monocular Video,
ECCV22(VI:275-291).
Springer DOI 2211
BibRef

Shao, R.Z.[Rui-Zhi], Zheng, Z.R.[Ze-Rong], Zhang, H.W.[Hong-Wen], Sun, J.X.[Jing-Xiang], Liu, Y.B.[Ye-Bin],
DiffuStereo: High Quality Human Reconstruction via Diffusion-Based Stereo Using Sparse Cameras,
ECCV22(XXXII:702-720).
Springer DOI 2211
BibRef

Yao, C.H.[Chun-Han], Yang, J.[Jimei], Ceylan, D.[Duygu], Zhou, Y.[Yi], Zhou, Y.[Yang], Yang, M.H.[Ming-Hsuan],
Learning Visibility for Robust Dense Human Body Estimation,
ECCV22(I:412-428).
Springer DOI 2211
BibRef

Kim, M.[Mira], Min, Y.[Youngjo], Kim, J.[Jiwon], Kim, S.[Seungryong],
Meta-Learned Initialization For 3D Human Recovery,
ICIP22(4238-4242)
IEEE DOI 2211
Learning systems, Solid modeling, Adaptation models, Benchmark testing, Predictive models, Cameras, 3D reconstruction, optimization-based meta-learning BibRef

Shao, R.Z.[Rui-Zhi], Zhang, H.W.[Hong-Wen], Zhang, H.[He], Chen, M.J.[Ming-Jia], Cao, Y.P.[Yan-Pei], Yu, T.[Tao], Liu, Y.B.[Ye-Bin],
DoubleField: Bridging the Neural Surface and Radiance Fields for High-fidelity Human Reconstruction and Rendering,
CVPR22(15851-15861)
IEEE DOI 2210
Geometry, Surface reconstruction, Codes, Fuses, Rendering (computer graphics), Transformers, Image and video synthesis and generation BibRef

Thakkar, N.[Neerja], Pavlakos, G.[Georgios], Farid, H.[Hany],
The Reliability of Forensic Body-Shape Identification,
WMF22(44-52)
IEEE DOI 2210
Weight measurement, Shape, Forensics, Shape measurement, Estimation BibRef

Wang, Z.[Zhe], Yang, J.[Jimei], Fowlkes, C.[Charless],
The Best of Both Worlds: Combining Model-based and Nonparametric Approaches for 3D Human Body Estimation,
ABAW22(2317-2326)
IEEE DOI 2210
Solid modeling, Surface reconstruction, Shape, Biological system modeling, Estimation, Predictive models BibRef

Tejeda, Y.G.[Yansel González], Mayer, H.A.[Helmut A.],
Effect of Gender, Pose and Camera Distance on Human Body Dimensions Estimation,
T-CAP22(179-190).
Springer DOI 2208
BibRef

Kocabas, M.[Muhammed], Huang, C.H.P.[Chun-Hao P.], Hilliges, O.[Otmar], Black, M.J.[Michael J.],
PARE: Part Attention Regressor for 3D Human Body Estimation,
ICCV21(11107-11117)
IEEE DOI 2203
Codes, Shape, Sensitivity analysis, Pose estimation, Benchmark testing, Gestures and body pose, 3D from a single image and shape-from-x BibRef

Pierson, E.[Emery], Daoudi, M.[Mohamed], Tumpach, A.B.[Alice-Barbara],
A Riemannian Framework for Analysis of Human Body Surface,
WACV22(2763-2772)
IEEE DOI 2202
Shape, Extraterrestrial measurements, Distortion, Elbow, Grouping and Shape Biometrics BibRef

Li, Z.[Ziwen], Xu, B.[Bo], Huang, H.[Han], Lu, C.[Cheng], Guo, Y.D.[Yan-Dong],
Deep Two-Stream Video Inference for Human Body Pose and Shape Estimation,
WACV22(637-646)
IEEE DOI 2202
Solid modeling, Shape, Biological system modeling, Estimation, Transformers, 3D Computer Vision Action and Behavior Recognition BibRef

Tan, F.T.[Fei-Tong], Tang, D.H.[Dan-Hang], Dou, M.S.[Ming-Song], Guo, K.W.[Kai-Wen], Pandey, R.[Rohit], Keskin, C.[Cem], Du, R.F.[Ruo-Fei], Sun, D.Q.[De-Qing], Bouaziz, S.[Sofien], Fanello, S.[Sean], Tan, P.[Ping], Zhang, Y.[Yinda],
HumanGPS: Geodesic PreServing Feature for Dense Human Correspondences,
CVPR21(1820-1830)
IEEE DOI 2111
Deep learning, Image segmentation, Shape, Semantics, Buildings BibRef

Lombardi, S.[Sandro], Yang, B.B.[Bang-Bang], Fan, T.X.[Tian-Xing], Bao, H.J.[Hu-Jun], Zhang, G.F.[Guo-Feng], Pollefeys, M.[Marc], Cui, Z.P.[Zhao-Peng],
LatentHuman: Shape-and-Pose Disentangled Latent Representation for Human Bodies,
3DV21(278-288)
IEEE DOI 2201
Solid modeling, Interpolation, Shape, Tracking, Biological system modeling, Computational modeling, implicit neural representations BibRef

Ugrinovic, N.[Nicolas], Ruiz, A.[Adria], Agudo, A.[Antonio], Sanfeliu, A.[Alberto], Moreno-Noguer, F.[Francesc],
Body Size and Depth Disambiguation in Multi-Person Reconstruction from Single Images,
3DV21(53-63)
IEEE DOI 2201
Measurement, Solid modeling, Image segmentation, Shape, Semantics, Pose estimation, multi-person 3D pose estimation, SMPL, gradient descent BibRef

Zhao, Z.[Zibo], Liu, W.[Wen], Xu, Y.Y.[Yan-Yu], Chen, X.[Xianing], Luo, W.X.[Wei-Xin], Jin, L.[Lei], Zhu, B.[Bohui], Liu, T.[Tong], Zhao, B.Q.[Bin-Qiang], Gao, S.H.[Sheng-Hua],
Prior Based Human Completion,
CVPR21(7947-7957)
IEEE DOI 2111
Image segmentation, Correlation, Shape, Biological system modeling, Computational modeling, Semantics BibRef

Xue, F.[Fei], Budvytis, I.[Ignas], Cipolla, R.[Roberto],
IMP: Iterative Matching and Pose Estimation with Adaptive Pooling,
CVPR23(21317-21326)
IEEE DOI 2309
BibRef

Sengupta, A.[Akash], Budvytis, I.[Ignas], Cipolla, R.[Roberto],
Probabilistic 3D Human Shape and Pose Estimation from Multiple Unconstrained Images in the Wild,
CVPR21(16089-16099)
IEEE DOI 2111
Measurement, Uncertainty, Shape, Pose estimation, Gaussian distribution, Probabilistic logic BibRef

Zanfir, A.[Andrei], Bazavan, E.G.[Eduard Gabriel], Zanfir, M.[Mihai], Freeman, W.T.[William T.], Sukthankar, R.[Rahul], Sminchisescu, C.[Cristian],
Neural Descent for Visual 3D Human Pose and Shape,
CVPR21(14479-14488)
IEEE DOI 2111
Training, Solid modeling, Visualization, Shape, Face recognition, Semantics BibRef

Shibata, K.[Keisuke], Lee, S.[Sangeun], Nobuhara, S.[Shohei], Nishino, K.[Ko],
Consistent 3D Human Shape from Repeatable Action,
DynaVis21(1770-1779)
IEEE DOI 2109
Learning systems, Surface reconstruction, Shape, Biological system modeling, Cameras BibRef

Thakkar, N.[Neerja], Farid, H.[Hany],
On the Feasibility of 3D Model-Based Forensic Height and Weight Estimation,
WMF21(953-961)
IEEE DOI 2109
Weight measurement, Fault diagnosis, Solid modeling, Computational modeling, Roads, Estimation BibRef

Li, Z.G.[Zhong-Guo], Oskarsson, M.[Magnus], Heyden, A.[Anders],
3D Human Pose and Shape Estimation Through Collaborative Learning and Multi-view Model-fitting,
WACV21(1887-1896)
IEEE DOI 2106
Training, Deep learning, Solid modeling, Shape, Estimation BibRef

Yang, K.Z.[Kai-Zhi], Lu, J.T.[Jin-Tao], Hu, S.[Siyu], Chen, X.J.[Xue-Jin],
Deep 3d Modeling of Human Bodies from Freehand Sketching,
MMMod21(II:36-48).
Springer DOI 2106
BibRef

Mameli, M.[Marco], Paolanti, M.[Marina], Conci, N.[Nicola], Tessaro, F.[Filippo], Frontoni, E.[Emanuele], Zingaretti, P.[Primo],
Weight Estimation from an RGB-D camera in top-view configuration,
ICPR21(7715-7722)
IEEE DOI 2105
Neural networks, Estimation, Cameras, Business intelligence, Task analysis, Weight Estimation, Top-View Configuration BibRef

Li, Z.G.[Zhong-Guo], Oskarsson, M.[Magnus], Heyden, A.[Anders],
Learning to Implicitly Represent 3D Human Body From Multi-scale Features and Multi-view Images,
ICPR21(8968-8975)
IEEE DOI 2105
Training, Solid modeling, Shape, Biological system modeling, Neural networks, Feature extraction, multi-scale features BibRef

Moro, M.[Matteo], Rizzoglio, F.[Fabio], Odone, F.[Francesca], Casadio, M.[Maura],
A Video-based Markerless Body Machine Interface: A Pilot Study,
CARE20(233-240).
Springer DOI 2103
BibRef

Jinka, S.S., Chacko, R., Sharma, A., Narayanan, P.J.,
PeeledHuman: Robust Shape Representation for Textured 3D Human Body Reconstruction,
3DV20(879-888)
IEEE DOI 2102
Shape, Image reconstruction, Solid modeling, Clothing, Cameras, Computational modeling, end to end textured reconstruction of humans BibRef

Beacco, A., Gallego, J., Slater, M.,
Automatic 3D Character Reconstruction from Frontal and Lateral Monocular 2D RGB Views,
ICIP20(2785-2789)
IEEE DOI 2011
Image reconstruction, Solid modeling, Shape, Cameras, Image color analysis, Animatable 3D reconstruction BibRef

Zhang, T., Wang, J., Zhu, Q., Yin, B.,
See Through Occlusions: Detailed Human Shape Estimation From A Single Image With Occlusions,
ICIP20(2646-2650)
IEEE DOI 2011
Image reconstruction, Shape, Strain, Standards, Surface reconstruction, human body BibRef

Liu, Y., Tian, M., Hou, J., Yi, S., Lin, Z.,
Pentadent-Net: Pedestrian Attribute Recognition With Distance Refinement And Correlation Mining,
ICIP20(2211-2215)
IEEE DOI 2011
Feature extraction, Correlation, Training, Predictive models, Convolution, Mathematical model, Machine learning, Deep Learning BibRef

Lee, B.C.[Brian C.], Tward, D.J.[Daniel J.], Hu, Z.Y.[Zhi-Yi], Trouvé, A.[Alain], Miller, M.I.[Michael I.],
Infinitesimal Drift Diffeomorphometry Models for Population Shape Analysis,
Diff-CVML20(3766-3775)
IEEE DOI 2008
Computational anatomy. Sociology, Statistics, Shape, Mathematical model, Computational modeling, Stochastic processes, Trajectory BibRef

Yin, F., Zhou, S.,
Accurate Estimation of Body Height From a Single Depth Image via a Four-Stage Developing Network,
CVPR20(8264-8273)
IEEE DOI 2008
Cameras, Image segmentation, Torso, Head, Estimation, Legged locomotion, Network architecture BibRef

Tan, F., Zhu, H., Cui, Z., Zhu, S., Pollefeys, M., Tan, P.,
Self-Supervised Human Depth Estimation From Monocular Videos,
CVPR20(647-656)
IEEE DOI 2008
Shape, Computational modeling, Videos, Estimation, Biological system modeling, Skeleton BibRef

Bieler, D., Günel, S.G., Fua, P., Rhodin, H.,
Gravity as a Reference for Estimating a Person's Height From Video,
ICCV19(8568-8576)
IEEE DOI 2004
calibration, cameras, estimation theory, geometry, image motion analysis, image sequences, object detection, Estimation BibRef

Polania, L., Fung, G., Wang, D.,
Ordinal Regression Using Noisy Pairwise Comparisons for Body Mass Index Range Estimation,
WACV19(782-790)
IEEE DOI 1904
face recognition, image denoising, pattern classification, regression analysis, search problems, Siamese architectures, Search problems BibRef

Alldieck, T., Pons-Moll, G., Theobalt, C., Magnor, M.,
Tex2Shape: Detailed Full Human Body Geometry From a Single Image,
ICCV19(2293-2303)
IEEE DOI 2004
clothing, computer graphics, feature extraction, image reconstruction, image representation, image texture, Hair BibRef

Jiang, H., Cai, J., Zheng, J.,
Skeleton-Aware 3D Human Shape Reconstruction From Point Clouds,
ICCV19(5430-5440)
IEEE DOI 2004
feature extraction, graph theory, image reconstruction, image representation, learning (artificial intelligence), Solid modeling BibRef

Gabeur, V., Franco, J., Martin, X., Schmid, C., Rogez, G.,
Moulding Humans: Non-Parametric 3D Human Shape Estimation From Single Images,
ICCV19(2232-2241)
IEEE DOI 2004
image colour analysis, image motion analysis, image reconstruction, image representation, image resolution, Surface reconstruction BibRef

Zhu, H.[Hao], Su, H.[Hao], Wang, P.[Peng], Cao, X.[Xun], Yang, R.G.[Rui-Gang],
View Extrapolation of Human Body from a Single Image,
CVPR18(4450-4459)
IEEE DOI 1812
Shape, Solid modeling, Image generation, Geometry, Estimation BibRef

Kanazawa, A.[Angjoo], Black, M.J., Jacobs, D.W., Malik, J.,
End-to-End Recovery of Human Shape and Pose,
CVPR18(7122-7131)
IEEE DOI 1812
Shape, Solid modeling, Joints, Biological system modeling, Estimation BibRef

Pavlakos, G., Zhu, L., Zhou, X., Daniilidis, K.,
Learning to Estimate 3D Human Pose and Shape from a Single Color Image,
CVPR18(459-468)
IEEE DOI 1812
Shape, Training, Color, Estimation, Predictive models BibRef

Omran, M., Lassner, C., Pons-Moll, G., Gehler, P., Schiele, B.,
Neural Body Fitting: Unifying Deep Learning and Model Based Human Pose and Shape Estimation,
3DV18(484-494)
IEEE DOI 1812
feedforward neural nets, image representation, image segmentation, learning (artificial intelligence), model-based and learning-based human pose and shape estimation BibRef

Varol, G.[Gül], Ceylan, D.[Duygu], Russell, B.[Bryan], Yang, J.[Jimei], Yumer, E.[Ersin], Laptev, I.[Ivan], Schmid, C.[Cordelia],
BodyNet: Volumetric Inference of 3D Human Body Shapes,
ECCV18(VII: 20-38).
Springer DOI 1810
BibRef

Shabayek, A.E.[A. El_Rahman], Aouada, D., Saint, A., Ottersten, B.,
Deformation transfer of 3D human shapes and poses on manifolds,
ICIP17(220-224)
IEEE DOI 1803
Computational modeling, Deformable models, Indexes, Manifolds, Shape, Strain, Deformation transfer, shape modeling BibRef

Lassner, C., Romero, J., Kiefel, M., Bogo, F., Black, M.J., Gehler, P.V.,
Unite the People: Closing the Loop Between 3D and 2D Human Representations,
CVPR17(4704-4713)
IEEE DOI 1711
Computational modeling, Image segmentation, Shape, Solid modeling BibRef

Zhang, C., Pujades, S., Black, M., Pons-Moll, G.,
Detailed, Accurate, Human Shape Estimation from Clothed 3D Scan Sequences,
CVPR17(5484-5493)
IEEE DOI 1711
Clothing, Deformable models, Estimation, Numerical models, Shape, Strain, BibRef

Bogo, F.[Federica], Kanazawa, A.[Angjoo], Lassner, C.[Christoph], Gehler, P.V.[Peter V.], Romero, J.[Javier], Black, M.J.[Michael J.],
Keep It SMPL: Automatic Estimation of 3D Human Pose and Shape from a Single Image,
ECCV16(V: 561-578).
Springer DOI 1611
BibRef

Dibra, E.[Endri], Öztireli, C.[Cengiz], Ziegler, R.[Remo], Gross, M.[Markus],
Shape from Selfies: Human Body Shape Estimation Using CCA Regression Forests,
ECCV16(IV: 88-104).
Springer DOI 1611
BibRef

Xu, Z.Y.[Zong-Yi], Zhang, Q.[Qianni],
Symmetry-Aware Human Shape Correspondence Using Skeleton,
MMMod16(I: 632-641).
Springer DOI 1601
BibRef

Perbet, F.[Frank], Johnson, S.[Sam], Pham, M.T.[Minh-Tri], Stenger, B.[Bjorn],
Human Body Shape Estimation Using a Multi-resolution Manifold Forest,
CVPR14(668-675)
IEEE DOI 1409
3D shape estimation;human body fitting;manifold charting BibRef

Rauschert, I.[Ingmar], Collins, R.T.[Robert T.],
A Generative Model for Simultaneous Estimation of Human Body Shape and Pixel-Level Segmentation,
ECCV12(V: 704-717).
Springer DOI 1210
BibRef

Peng, E.[En], Li, L.[Ling],
Acquisition of 3-D surface shape of human body from monocular images without pose estimation,
ICARCV12(1136-1141).
IEEE DOI 1304
BibRef
Earlier:
Acquiring human skeleton proportions from monocular images without posture estimation,
ICARCV08(2250-2255).
IEEE DOI 1109
The description, not the pose. BibRef

Xi, P.C.[Peng-Cheng], Guo, H.Y.[Hong-Yu], Shu, C.[Chang],
Human Body Shape Prediction and Analysis Using Predictive Clustering Tree,
3DIMPVT11(196-203).
IEEE DOI 1109
BibRef

Nurre, J.H.,
Segmenting Human Body Data,
3DIM97(11 - Human Shape Modeling) 9702
BibRef

Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Human Models, 3-D Human Modeling .


Last update:May 23, 2024 at 14:31:23