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Probabilistic Modeling for Human Mesh Recovery [article]

Nikos Kolotouros, Georgios Pavlakos, Dinesh Jayaraman, Kostas Daniilidis
2021 arXiv   pre-print
These tasks include reconstruction from multiple uncalibrated views, as well as human model fitting, where our model acts as a powerful image-based prior for mesh recovery.  ...  Our results validate the importance of probabilistic modeling, and indicate state-of-the-art performance across a variety of settings.  ...  Summary This work presents a probabilistic model for 3D human mesh recovery from 2D evidence.  ... 
arXiv:2108.11944v1 fatcat:4ndztfv66zbwxfm7ga4shuto4a

Spatio-Temporal GrabCut human segmentation for face and pose recovery

Antonio Hernandez, Miguel Reyes, Sergio Escalera, Petia Radeva
2010 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops  
Moreover, human segmentation is combined with Shape and Active Appearance Models to perform full face and pose recovery.  ...  GrabCut initialization is performed by a HOG-based subject detection, face detection, and skin color model for seed initialization.  ...  For the case of face recovery, we base our procedure on mesh fitting using Active Appearance Models (AAM), that benefits from Active Shape Models and color and texture information [2] .  ... 
doi:10.1109/cvprw.2010.5543824 dblp:conf/cvpr/HernandezRER10 fatcat:7l2dugleyrbotfg2lbesj2lvka

GrabCut-Based Human Segmentation in Video Sequences

Antonio Hernández-Vela, Miguel Reyes, Víctor Ponce, Sergio Escalera
2012 Sensors  
Moreover, full face and pose recovery is obtained by combining human segmentation with Active Appearance Models and Conditional Random Fields.  ...  Results over public datasets and in a new Human Limb dataset show a robust segmentation and recovery of both face and pose using the presented methodology.  ...  Finally, we align every resulting mesh and we obtain the mean for each model.  ... 
doi:10.3390/s121115376 pmid:23202215 pmcid:PMC3522968 fatcat:vhlxrpwmcrg6zjvov5qdzwgfsi

Self-supervised 3D Human Mesh Recovery from Noisy Point Clouds [article]

Xinxin Zuo and Sen Wang and Qiang Sun and Minglun Gong and Li Cheng
2021 arXiv   pre-print
To address these issues, we model the probability distribution of the input point cloud as generated from a parametric human model under a Gaussian Mixture Model.  ...  Instead of explicitly aligning correspondences, we treat the process of correspondence search as an implicit probabilistic association by updating the posterior probability of the template model given  ...  We have generated depth maps for the models in CAPE dataset by rendering the human mesh into randomly generated camera coordinates rotating around the human subject.  ... 
arXiv:2107.07539v2 fatcat:dukoibymhvcjlgbvwotf7ypzqy

Deep Textured 3D Reconstruction of Human Bodies [article]

Abbhinav Venkat, Sai Sagar Jinka, Avinash Sharma
2018 arXiv   pre-print
In this paper, we propose a deep learning based solution for textured 3D reconstruction of human body shapes from a single view RGB image.  ...  Recovering textured 3D models of non-rigid human body shapes is challenging due to self-occlusions caused by complex body poses and shapes, clothing obstructions, lack of surface texture, background clutter  ...  for accurate reconstruction of human models.  ... 
arXiv:1809.06547v1 fatcat:cysa6kojvrd6zeqvxcmwf3ntva

Recovering 3D Human Mesh from Monocular Images: A Survey [article]

Yating Tian, Hongwen Zhang, Yebin Liu, Limin Wang
2022 arXiv   pre-print
Since the release of statistical body models, 3D human mesh recovery has been drawing broader attention.  ...  To the best of our knowledge, this is the first survey to focus on the task of monocular 3D human mesh recovery.  ...  Chronological overview of the most relevant parametric human models and 3D human mesh recovery methods. Fig. 5 . 5 Fig. 5. The pipeline of regression-based methods for human mesh recovery.  ... 
arXiv:2203.01923v2 fatcat:vb6xa5wdsrhdxd2ebvg54qq2m4

Recovering Articulated Object Models from 3D Range Data [article]

Dragomir Anguelov, Daphne Koller, Hoi-Cheung Pang, Praveen Srinivasan, Sebastian Thrun
2012 arXiv   pre-print
It then segments the meshes using a graphical model that captures the spatial contiguity of parts.  ...  We demonstrate the algorithm on real world datasets, recovering a 15-part articulated model of a human puppet from just 7 different puppet configurations, as well as a 4 part model of a fiexing arm where  ...  Acknowledgements We thank Ben Taskar for useful discussions.  ... 
arXiv:1207.4129v1 fatcat:bab6sihnu5gvra77iiwmqo73na

Robust Human Body Shape and Pose Tracking

Chun-Hao Huang, Edmond Boyer, Slobodan Ilic
2013 2013 International Conference on 3D Vision  
the need for tedious manual interventions.  ...  In this paper we address the problem of markerless human performance capture from multiple camera videos.  ...  To this end, we propose to use probabilistic deformable surface registration approach based on patched representation of the reference human body model [6] together with the bone binding energy [19]  ... 
doi:10.1109/3dv.2013.45 dblp:conf/3dim/HuangBI13 fatcat:cocxujon5nel5fsq3g75jp2vb4

Towards Robust RGB-D Human Mesh Recovery [article]

Ren Li, Changjiang Cai, Georgios Georgakis, Srikrishna Karanam, Terrence Chen, Ziyan Wu
2019 arXiv   pre-print
To this end, we propose a new method that uses RGB-D data to estimate a parametric human mesh model.  ...  We consider the problem of human pose estimation.  ...  Introduction We consider the problem of estimating a parametric human mesh model for human pose estimation.  ... 
arXiv:1911.07383v1 fatcat:ys4pwrbgr5b47auvzd5novxw2q

Inferring 3D Shapes and Deformations from Single Views [chapter]

Yu Chen, Tae-Kyun Kim, Roberto Cipolla
2010 Lecture Notes in Computer Science  
A novel probabilistic inference algorithm for 3D shape estimation is proposed by maximum likelihood estimates of the GPLVM latent variables and the camera parameters that best fit generated 3D shapes to  ...  In this paper we propose a probabilistic framework that models shape variations and infers dense and detailed 3D shapes from a single silhouette.  ...  Fig. 1 . 1 3D shape recovery (blue meshes) of a human body (left) and a shark (right) under pose change and their shapes in the canonical pose (gray meshes) Fig. 2 . 2 Synthesizing sharks (left) and  ... 
doi:10.1007/978-3-642-15558-1_22 fatcat:p2444eaw7fh2fbagi4kaulaxry

Route-over vs mesh-under routing in 6LoWPAN

Aminul Haque Chowdhury, Muhammad Ikram, Hyon-Soo Cha, Hassen Redwan, S. M. Saif Shams, Ki-Hyung Kim, Seung-Wha Yoo
2009 Proceedings of the 2009 International Conference on Wireless Communications and Mobile Computing Connecting the World Wirelessly - IWCMC '09  
We also compare the selective fragment retransmission mechanism between mesh-under and route-over schemes.  ...  We can divide the routing scheme in 6LoWPAN into two categories: the mesh-under and the route-over, based on the routing decision taken on adaptation layer or network layer respectively.  ...  CONCLUSION In this paper we analyzed the probabilistic model of routeover and mesh-under routing schemes.  ... 
doi:10.1145/1582379.1582643 dblp:conf/iwcmc/ChowdhuryICRSKY09 fatcat:ux5hzelxdzd4ni3yflagy6qa2u


R Plisko, L Metz, M Dziewiatka
2008 Value in Health  
A comparative CE model, incorporating fondaparinux, was developed. Incremental cost-effectiveness ratios (ICERs) were calculated.  ...  For fondaparinux, costs were estimated from mean costs of complications among the other TSs, with an adjustment for increased medication cost.  ...  Inclusion criteria for review was study on QoL, exclusion criteria were case studies with n < 3, and studies in laboratory animals as proxy for humans.  ... 
doi:10.1016/s1098-3015(10)70770-1 fatcat:tra3vzt3gnecjakzqnundgautu

3D Multi-bodies: Fitting Sets of Plausible 3D Human Models to Ambiguous Image Data [article]

Benjamin Biggs, Sébastien Ehrhadt, Hanbyul Joo, Benjamin Graham, Andrea Vedaldi, David Novotny
2020 arXiv   pre-print
We suggest that ambiguities can be modelled more effectively by parametrizing the possible body shapes and poses via a suitable 3D model, such as SMPL for humans.  ...  We show that our method outperforms alternative approaches in ambiguous pose recovery on standard benchmarks for 3D humans, and in heavily occluded versions of these benchmarks.  ...  Specifically, we consider the challenge of recovering 3D mesh reconstructions of complex articulated objects such as humans from highly ambiguous Figure 1 : Human mesh recovery in an ambiguous setting  ... 
arXiv:2011.00980v1 fatcat:zfn23kq7cjczjogoyha56owyii

Probabilistic simultaneous pose and non-rigid shape recovery

Francesc Moreno-Noguer, Josep M. Porta
2011 CVPR 2011  
The key novel contribution of our approach is in bringing the tools of the probabilistic SLAM methodology from a rigid to a deformable domain.  ...  Under the assumption that the shape may be represented as a weighted sum of deformation modes, we show that the problem of estimating the modal weights along with the camera poses, may be probabilistically  ...  Figure 3 . 3 Results on shape and pose recovery for a sequence of a deforming synthetic mesh.  ... 
doi:10.1109/cvpr.2011.5995532 dblp:conf/cvpr/Moreno-NoguerP11 fatcat:le3fisz5frbafc4vwhczghrrbu

Data-Driven Shape Analysis and Processing

Kai Xu, Vladimir G. Kim, Qixing Huang, Evangelos Kalogerakis
2016 Computer graphics forum (Print)  
In contrast to traditional approaches that process shapes in isolation of each other, data-driven methods aggregate information from 3D model collections to improve the analysis, modelling and editing  ...  Data-driven methods are also able to learn computational models that reason about properties and relationships of shapes without relying on hardcoded rules or explicitly programmed instructions.  ...  Acknowledgements We thank Zimo Li for proofreading this survey and the anonymous reviewers for helpful suggestions. Kalogerakis gratefully acknowledges support from NSF (CHS-1422441).  ... 
doi:10.1111/cgf.12790 fatcat:q76sq2syjvce5fjjjb7yoafww4
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