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Real-Time Face Reconstruction from a Single Depth Image

Vahid Kazemi, Cem Keskin, Jonathan Taylor, Pushmeet Kohli, Shahram Izadi
2014 2014 2nd International Conference on 3D Vision  
Abstract This paper contributes a real time method for recovering facial shape and expression from a single depth image.  ...  Our method works in real-time on a single depth image i.e. without temporal tracking, is free from per-user calibration, and works in low-light conditions.  ...  Introduction We address the problem of reconstructing 3D face shape and expressions in real-time, given only a single depth image.  ... 
doi:10.1109/3dv.2014.93 dblp:conf/3dim/KazemiKTKI14 fatcat:z7muyoo3kna6fcobpkpsuzpyfq

CNN-based Real-time Dense Face Reconstruction with Inverse-rendered Photo-realistic Face Images [article]

Yudong Guo, Juyong Zhang, Jianfei Cai, Boyi Jiang, Jianmin Zheng
2018 arXiv   pre-print
The networks are trained for real-time detailed 3D face reconstruction from monocular video as well as from a single image.  ...  With the powerfulness of convolution neural networks (CNN), CNN based face reconstruction has recently shown promising performance in reconstructing detailed face shape from 2D face images.  ...  geometry, albedo and lighting well in real time from monocular RGB video as well a single image.  ... 
arXiv:1708.00980v3 fatcat:uh53qon4unhmtlf7an2tdf3l6m

CNN-based Real-time Dense Face Reconstruction with Inverse-rendered Photo-realistic Face Images

Yudong Guo, Juyong Zhang, Jianfei Cai, Boyi Jiang, Jianmin Zheng
2018 IEEE Transactions on Pattern Analysis and Machine Intelligence  
The networks are trained for real-time detailed 3D face reconstruction from monocular video as well as from a single image.  ...  With the powerfulness of convolution neural networks (CNN), CNN based face reconstruction has recently shown promising performance in reconstructing detailed face shape from 2D face images.  ...  geometry, albedo and lighting well in real time from monocular RGB video as well a single image.  ... 
doi:10.1109/tpami.2018.2837742 pmid:29994297 fatcat:qmw5eja6yrhefbtfkjvwnim6we

Comparing strategies for 3D face recognition from a 3D sensor

Jongmoo Choi, Ayush Sharma, Gerard Medioni
2013 2013 IEEE RO-MAN  
A third strategy (3D-3D) is to use a 3D face model inferred from multiple frames as the input probe.  ...  We address the problem of 3D face recognition from 3D data, using different strategies. One strategy (1F-NF), explored earlier, is to match each individual frame to a set of reference frames.  ...  In the 3D-3D strategy, the probe is a reconstructed 3D face model produced from a sequence of depth frames. Then, the probe is matched against stored gallery images generated from 3D face models.  ... 
doi:10.1109/roman.2013.6628525 dblp:conf/ro-man/ChoiSM13 fatcat:2jpbt3uplfd3nk4ig7ebpk2zty

Rapid Implementation of 3D Facial Reconstruction from a Single Image on an Android Mobile Device

2014 KSII Transactions on Internet and Information Systems  
In this paper, we propose the rapid implementation of a 3-dimensional (3D) facial reconstruction from a single frontal face image and introduce a design for its application on a mobile device.  ...  The reconstruction system is built by first creating 3D facial mapping from a personal identity vector of a face image.  ...  On the other hand, this application was built for reconstructing 3D faces from images captured in the real life on a mobile device, and therefore real 3D information does not always exist to confirm the  ... 
doi:10.3837/tiis.2014.05.011 fatcat:yn7aqvpnxjdy3mdqpkmriwysjq

Do We Need Depth in State-Of-The-Art Face Authentication? [article]

Amir Livne, Alex Bronstein, Ron Kimmel, Ziv Aviv, Shahaf Grofit
2020 arXiv   pre-print
This way, we keep the simplicity and cost efficiency of identity authentication from a single image, while enjoying the benefits of geometric data without explicitly reconstructing it.  ...  Some face recognition methods are designed to utilize geometric information extracted from depth sensors to overcome the weaknesses of single-image based recognition technologies.  ...  In addition, this results in a single model, trained end-to-end with the raw images, without any need for acquisition or supervision of explicit depth maps during training and inference time. 3D Face  ... 
arXiv:2003.10895v2 fatcat:ckhc4pxavrfrllevxjws3jgkk4

Improving Heterogeneous Face Recognition with Conditional Adversarial Networks [article]

Wuming Zhang, Zhixin Shu, Dimitris Samaras, Liming Chen
2017 arXiv   pre-print
Compared with most conventional cross-modal approaches, our method additionally conducts accurate depth image reconstruction from single color image with Conditional Generative Adversarial Nets (cGAN),  ...  Heterogeneous face recognition between color image and depth image is a much desired capacity for real world applications where shape information is looked upon as merely involved in gallery.  ...  2.1 3D Face Reconstruction 3D face reconstruction from single/multiple images or stereo video has been a challenging task due to its nonlinearity and ill-posedness.  ... 
arXiv:1709.02848v2 fatcat:6rv24doxabezreqja57pskj7eu

3D face reconstruction from a single camera using a multi mirror set-up

M. Marcon, J. Rurainsky
2009 3rd International Conference on Imaging for Crime Detection and Prevention (ICDP 2009)  
In this paper we will describe how a setup with a single hi-resolution camera together with one, two or more planar mirrors can be implemented to provide accurate 3D models of faces: in particular we will  ...  3D face models, thanks to the accuracy and effectiveness of recent devices and techniques for 3D object reconstruction, are extending and enforcing traditional 2D face recognition engines.  ...  This article also describes a reconstruction algorithm whose aim is the fast realization of a depth-map, with respect to the real camera, from the acquired face.  ... 
doi:10.1049/ic.2009.0236 dblp:conf/icdp/MarconR09 fatcat:mer6cgn32rb3howcfxfodvh7fm

Unsupervised Single-shot Depth Estimation using Perceptual Reconstruction [article]

Christoph Angermann, Matthias Schwab, Markus Haltmeier, Christian Laubichler, Steinbjörn Jónsson
2022 arXiv   pre-print
Real-time estimation of actual object depth is a module that is essential to performing various autonomous system tasks such as 3D reconstruction, scene understanding and condition assessment of machinery  ...  While most of these models are based on paired depth data or availability of video sequences and stereo images, methods for single-view depth synthesis in a fully unsupervised setting have hardly been  ...  Conclusion This paper proposes a framework for fully unsupervised single-shot depth estimation from monocular RGB images based on the Wasserstein-1 distance and a novel perceptual reconstruction loss.  ... 
arXiv:2201.12170v3 fatcat:xc7qqjhswnefrppnwtv6qx6e2e

Merging Live and pre-Captured Data to support Full 3D Head Reconstruction for Telepresence [article]

Cedric Fleury, Tiberiu Popa, Tat Jen Cham, Henry Fuchs
2014 Eurographics State of the Art Reports  
This paper proposes a 3D head reconstruction method for low cost 3D telepresence systems that uses only a single consumer level hybrid sensor (color+depth) located in front of the users.  ...  A complete and fully textured 3D model of the users' head can thus be reconstructed in real-time, accurately preserving the facial expression of the user.  ...  Some other techniques achieve real-time reconstruction by fitting a deformable face model to the depth data of the face captured by a depth sensor.  ... 
doi:10.2312/egsh.20141002 fatcat:hnoq2pkwmbh5zphwbgz4jrgqga

Omni-directional Reconstruction of Human Figures from Depth Data using Mirrors

Tanwi Mallick, Rishabh Agrawal, Partha Pratim Das, Arun Kumar Majumdar
2015 Proceedings of the 10th International Conference on Computer Vision Theory and Applications  
The reconstruction system is robust as it can reconstruct the 360 o view of any object (though it is particularly designed for human figures) from single depth and RGB images.  ...  We get three views from a single depth (and its corresponding RGB) frame -one is the real view of the human and other two are the virtual views generated through the mirrors.  ...  Instead of using multiple optical cameras or costly laser scanner and time-of-flight camera, we use easily available and affordable RGB-D sensor Kinect, which can capture depth and RGB data in real time  ... 
doi:10.5220/0005306905590566 dblp:conf/visapp/MallickADM15 fatcat:j4lg7j7pbjcitnqxr6kvflqp64

3-D Time-Varying Scene Capture Technologies—A Survey

Elena Stoykova, A. Ayd¿n Alatan, Philip Benzie, Nikos Grammalidis, Sotiris Malassiotis, Joern Ostermann, Sergej Piekh, Ventseslav Sainov, Christian Theobalt, Thangavel Thevar, Xenophon Zabulis
2007 IEEE transactions on circuits and systems for video technology (Print)  
Sceneoriented single-camera methods such as human face reconstruction and facial motion analysis, body modeling and body motion tracking, and motion recognition solve efficiently a variety of tasks. 3-  ...  Methods such as shape-from-texture, shape-from-shading, shape-from-focus, and shape-from-motion extraction can restore 3-D shape information from a single camera data.  ...  and briefly describes potentials of time-of-flight-based systems capable of integrating depth extraction and imaging in real time.  ... 
doi:10.1109/tcsvt.2007.909975 fatcat:fcawg5r2cbdynbufjedu2mda3a

Viewing Real-World Faces in 3D

Tal Hassner
2013 2013 IEEE International Conference on Computer Vision  
We present a data-driven method for estimating the 3D shapes of faces viewed in single, unconstrained photos (aka "in-the-wild").  ...  Our method was designed with an emphasis on robustness and efficiency -with the explicit goal of deployment in real-world applications which reconstruct and display faces in 3D.  ...  allowing 3D reconstruction of faces in casual, real-world photos.  ... 
doi:10.1109/iccv.2013.448 dblp:conf/iccv/Hassner13 fatcat:mgwejmc4afah7hphex3dymxr2e

Deep 3D Portrait from a Single Image [article]

Sicheng Xu, Jiaolong Yang, Dong Chen, Fang Wen, Yu Deng, Yunde Jia, Xin Tong
2020 arXiv   pre-print
A two-step geometry learning scheme is proposed to learn 3D head reconstruction from in-the-wild face images, where we first learn face shape on single images using self-reconstruction and then learn hair  ...  In this paper, we present a learning-based approach for recovering the 3D geometry of human head from a single portrait image.  ...  The network always runs on a single image at test time.  ... 
arXiv:2004.11598v1 fatcat:mvaoo4ihnrevzbrzis73hh73yy

Accurate and Robust 3D Facial Capture Using a Single RGBD Camera

Yen-Lin Chen, Hsiang-Tao Wu, Fuhao Shi, Xin Tong, Jinxiang Chai
2013 2013 IEEE International Conference on Computer Vision  
features detected from single RGBD images.  ...  In particular, we develop a robust and accurate image-based nonrigid registration algorithm that incrementally deforms a 3D template mesh model to best match observed depth image data and important facial  ...  Overview Our system acquires high-quality 3D facial models from single RGBD images recorded by a single Kinect.  ... 
doi:10.1109/iccv.2013.449 dblp:conf/iccv/ChenWSTC13 fatcat:gdqazymuljcarc4y25xxurasji
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