Filters








38,044 Hits in 4.7 sec

Adaptive multi-resolution fitting and its application to realistic head modeling

Chenghua Xu, Long Quan, Yunhong Wang, Tieniu Tan, M. Lhuillier
Geometric Modeling and Processing, 2004. Proceedings  
This algorithm combines the adaptive subdivision scheme with multi-resolution fitting so that the control model is subdivided locally and adaptively according to the local complexity of the point cloud  ...  In this paper, we face the noise point cloud obtained from image sequences by a common camera and develop a novel algorithm of Adaptive Multi-Resolution Fitting (AMRF) for object modeling.  ...  Acknowledgement: This work is supported by research funds from the NSFC (Grant No.60121302 and 60332010). The authors gratefully thank our colleagues and the anonymous reviewers for their suggestions.  ... 
doi:10.1109/gmap.2004.1290057 dblp:conf/gmp/XuQWTL04 fatcat:twioetglvnhy7he3rarrxyo4de

Highly Adaptive and Automated Tetrahedral Mesh Generator for Multi-Compartment Human Head Model with Deep Brain Structures in EEG [article]

Fernando Galaz Prieto, Joonas Lahtinen, Yusuf Oluwatoki Yusuf, Atena Rezaei, Sampsa Pursiainen
2022 arXiv   pre-print
This paper introduces a highly adaptive and automated approach for generating Finite Element (FE) discretization for a given realistic multi-compartment human head model obtained through magnetic resonance  ...  We present recursive solid angle labeling for the surface segmentation of the model and then adapt it with a set of smoothing, inflation, and optimization routines to further enhance the quality of the  ...  In adaptive meshing, the GPU accelerated total ) and realistic head model (5b, 5e, 5h).  ... 
arXiv:2203.10000v1 fatcat:5ihsdx5sd5b6rmf44hdfvqcjnu

Experiment on Tele-immersive Communication with Tiled Display Wall over Wide Area Network

Yasuo Ebara, Yoshitaka Shibata
2012 Advances in Computing  
Moreover, we have tried realistic display processing of ultra resolution astronomical observation image and movie data to display in full view visualization contents with ultra resolution which is difficult  ...  However, the display specification of large-scale screen system such as commercial projector and wide-area monitor to display these visual contents is low-resolution, and displaying of real video streaming  ...  In order to establish high precision forecast model, it is necessary to analyze a large amount of phenomenon with ultra resolution observation image data.  ... 
doi:10.5923/j.ac.20120203.02 fatcat:nlgau7tlhvcs3eawdwmupohsve

Performance Analysis of Virtual Human Bodies with Clothing and Hair from Images to Animation

Kulalvaimozhi. V. P., Germanus Alex. M, John Peter. S
2018 International Journal of Advanced Research in Computer Science and Software Engineering  
We also demonstrate that a simplified 2D clothing model helps to increase the accuracy of 2D body shape estimation significantly.  ...  Machine learning can be used to construct data-driven 3D human bodies, clothing, and hair.  ...  For instance, the clothing model should be generic so that it adapts to different body shapes.  ... 
doi:10.23956/ijarcsse.v8i6.723 fatcat:rz3k6icm7fepdd5ztpnsw53faa

Self-Supervised Adaptation of High-Fidelity Face Models for Monocular Performance Tracking [article]

Jae Shin Yoon, Takaaki Shiratori, Shoou-I Yu, Hyun Soo Park
2019 arXiv   pre-print
Improvements in data-capture and face modeling techniques have enabled us to create high-fidelity realistic face models.  ...  All these constraints make it challenging to use the high-fidelity models in tracking for commodity cameras.  ...  Conclusion We proposed a deep neural network that predicts the intermediate representation and head pose of a high-fidelity 3D face model from a single image and its self-supervised domain adaptation method  ... 
arXiv:1907.10815v1 fatcat:5kvwovdderetto73mcjki4x67i

Realistic Face Reenactment via Self-Supervised Disentangling of Identity and Pose

Xianfang Zeng, Yusu Pan, Mengmeng Wang, Jiangning Zhang, Yong Liu
2020 PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE  
On the other hand, the conditional generator allows for enhancing fine details and overall reality. It leverages the disentangled features to generate photo-realistic and pose-alike face images.  ...  Meanwhile, a multi-scale deforming autoencoder is proposed to extract pose-related information for each frame.  ...  Such an approach is able to learn highly realistic and personalized talking head models in a few-shot manner after a meta-learning.  ... 
doi:10.1609/aaai.v34i07.6970 fatcat:ivymkl4nm5ghjjlqimxplzxoya

VR content creation and exploration with deep learning: A survey

Miao Wang, Xu-Quan Lyu, Yi-Jun Li, Fang-Lue Zhang
2020 Computational Visual Media  
It originated in the 1960s and has evolved to provide increasing immersion, interactivity, imagination, and intelligence.  ...  Because deep learning systems are able to represent and compose information at various levels in a deep hierarchical fashion, they can build very powerful models which leverage large quantities of visual  ...  Acknowledgements The authors would like to thank the reviewers. This work was supported by the National Natural Science Foundation of China (Grant Nos. 61902012, 61932003).  ... 
doi:10.1007/s41095-020-0162-z fatcat:lgogzx26bvhn5f7uyefjkz7zny

Realistic Face Reenactment via Self-Supervised Disentangling of Identity and Pose [article]

Xianfang Zeng, Yusu Pan, Mengmeng Wang, Jiangning Zhang, Yong Liu
2020 arXiv   pre-print
On the other hand, the conditional generator allows for enhancing fine details and overall reality. It leverages the disentangled features to generate photo-realistic and pose-alike face images.  ...  Meanwhile, a multi-scale deforming autoencoder is proposed to extract pose-related information for each frame.  ...  Such an approach is able to learn highly realistic and personalized talking head models in a few-shot manner after a meta-learning.  ... 
arXiv:2003.12957v1 fatcat:ztnbksxinvd7nc4lifyhbav7nq

Controlled topology simplification

Taosong He, Lichan Hong, A. Varshney, S.W. Wang
1996 IEEE Transactions on Visualization and Computer Graphics  
This is accomplished by converting an object into multi-resolution volume rasters using a controlled filtering and sampling technique.  ...  We further propose an adaptive surface generation algorithm to reduce the number of triangles generated by the standard Marching Cubes.  ...  We thank Arie Kaufman for his contribution to the original ideas of this project. The source of the Visible Human data set is the National Library of Medicine and the Visible Human Project.  ... 
doi:10.1109/2945.506228 fatcat:bid6eaon6rhfngkjfke55dy4yq

QUIC-EST: A Transmission Scheme to Maximize VoI of Multi-Stream Correlated Data Flows [article]

Federico Chiariotti, Anay Ajit Deshpande, Marco Giordani, Kostantinos Antonakoglou, Andrea Zanella, Toktam Mahmoodi
2020 arXiv   pre-print
New advanced applications, such as autonomous driving and haptic communication, require to transmit multi-sensory data and require low latency and high reliability. These applications include.  ...  This mechanism allows applications to maximize the Value of Information (VoI) of the transmitted data, as we demonstrate through simulations in two realistic application scenarios.  ...  However, its features can be well-adapted to interactive multi-sensory applications in which sensing data needs to be broadcast, potentially with low delay, to preserve the user's Quality of Experience  ... 
arXiv:2010.03831v1 fatcat:i2wal7h7gje2hlyv43co4ojboe

Video-driven Neural Physically-based Facial Asset for Production [article]

Longwen Zhang, Chuxiao Zeng, Qixuan Zhang, Hongyang Lin, Ruixiang Cao, Wei Yang, Lan Xu, Jingyi Yu
2022 arXiv   pre-print
In addition, our neural asset along with fast adaptation schemes can also be deployed to handle in-the-wild videos.  ...  We then model the facial expression, geometry and physically-based textures using separate VAEs with a global MLP-based expression mapping across the latent spaces, to preserve characteristics across respective  ...  riggable head models with high-resolution albedo and normal maps.  ... 
arXiv:2202.05592v3 fatcat:tfbmwzburfh7hicvdgwzd4erga

Self-Supervised Adaptation of High-Fidelity Face Models for Monocular Performance Tracking

Jae Shin Yoon, Takaaki Shiratori, Shoou-I Yu, Hyun Soo Park
2019 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  
Abstract Improvements in data-capture and face modeling techniques have enabled us to create high-fidelity realistic face models.  ...  However, driving these realistic face models requires special input data, e.g. 3D meshes and unwrapped textures.  ...  Conclusion We proposed a deep neural network that predicts the intermediate representation and head pose of a high-fidelity 3D face model from a single image and its self-supervised domain adaptation method  ... 
doi:10.1109/cvpr.2019.00473 dblp:conf/cvpr/YoonSYP19 fatcat:gyih7ownwzbrrkegta6kvwfq34

Technical Note: Development of a 3D printed subresolution sandwich phantom for validation of brain SPECT analysis

Ian S. Negus, Robin B. Holmes, Kirsty C. Jordan, David A. Nash, Gareth C. Thorne, Margaret Saunders
2016 Medical Physics (Lancaster)  
Keywords 3D Printing, nuclear medicine, phantoms, quantitative imaging, brain 15 Abstract Purpose To make an adaptable, head shaped radionuclide phantom to simulate molecular imaging of the brain using  ...  Methods: A fused deposition modelling 3D printer was used to create a head shaped phantom made up of transaxial slabs, derived from a simulated MRI dataset.  ...  Computer analysis that fits the image dataset to a standard geometry and compares it to a 'normal database' has been used clinically and in research.  ... 
doi:10.1118/1.4960003 pmid:27587032 fatcat:sr662m27erfdnnitmjbbvkuxmi

Real-time expression transfer for facial reenactment

Justus Thies, Michael Zollhöfer, Matthias Nießner, Levi Valgaerts, Marc Stamminger, Christian Theobalt
2015 ACM Transactions on Graphics  
For each frame, we jointly fit a parametric model for identity, expression, and skin reflectance to the input color and depth data, and also reconstruct the scene lighting.  ...  This model, which is learned from real face scans, serves us as a statistical prior and an intermediate representation to later enable photo-realistic re-rendering of the entire face.  ...  Acknowledgements We would like to thank Chen Cao and Kun Zhou for the blendshape models and comparison data, as well as Volker Blanz, Thomas Vetter, and Oleg Alexander for the provided face data.  ... 
doi:10.1145/2816795.2818056 fatcat:vwzo4p23vfaqvkw6p77l6cv7ua

AvatarMe: Realistically Renderable 3D Facial Reconstruction "in-the-wild" [article]

Alexandros Lattas, Stylianos Moschoglou, Baris Gecer, Stylianos Ploumpis, Vasileios Triantafyllou, Abhijeet Ghosh, Stefanos Zafeiriou
2020 arXiv   pre-print
To achieve this, we capture a large dataset of facial shape and reflectance and build on a state-of-the-art 3D texture and shape reconstruction method and successively refine its results, while generating  ...  the per-pixel diffuse and specular components that are required for realistic rendering.  ...  AG acknowledges funding by the EPSRC Early Career Fellowship (EP/N006259/1) and SZ from a Google Faculty Fellowship and the EPSRC Fellowship DEFORM (EP/S010203/1).  ... 
arXiv:2003.13845v1 fatcat:5qzhuo4qb5a4nni42fqzm6vyby
« Previous Showing results 1 — 15 out of 38,044 results