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Real-time 3D face tracking based on active appearance model constrained by depth data

Nikolai Smolyanskiy, Christian Huitema, Lin Liang, Sean Eron Anderson
2014 Image and Vision Computing  
AAM allows accurate, real-time tracking of human faces in 2D and can be extended to track faces in 3D by constraining its fitting with a linear 3D morphable model.  ...  Active Appearance Model (AAM) is an algorithm for fitting a generative model of object shape and appearance to an input image.  ...  This extension significantly improves 3D accuracy of AAM based tracker. The resulting real-time system tracks faces with 3-6 mm accuracy.  ... 
doi:10.1016/j.imavis.2014.08.005 fatcat:4pd4jdvkxrdgxmnxw2u74chmcy

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.  ...  A second one (1F-3D) is to replace the set of reference frames by a 3D model resulting from the integration of individual frames.  ...  Each 3D face model is segmented based on automatically detected nose tip.  ... 
doi:10.1109/roman.2013.6628525 dblp:conf/ro-man/ChoiSM13 fatcat:2jpbt3uplfd3nk4ig7ebpk2zty

Fast Face Image Synthesis with Minimal Training [article]

Sandipan Banerjee, Walter J. Scheirer, Kevin W. Bowyer, Patrick J. Flynn
2018 arXiv   pre-print
Then, a real 3D head model compatible to the generated texture is used to render it under different facial yaw transformations.  ...  Our method samples face components from a pool of multiple face images of real identities to generate the synthetic texture.  ...  Paul Brenner, associated with the Center for Research Computing (CRC) at Notre Dame, for their help in rapid generation of face images on the grid. We also thank Dr.  ... 
arXiv:1811.01474v3 fatcat:z2ceza4hjbappfy5ugys3f6z54

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.  ...  This paper presents a novel face data generation method. Specifically, we render a large number of photo-realistic face images with different attributes based on inverse rendering.  ...  However, reconstructing detailed 3D face using traditional optimization-based methods [15] is far from real-time.  ... 
arXiv:1708.00980v3 fatcat:uh53qon4unhmtlf7an2tdf3l6m

Detecting and tracking of 3D face pose for human-robot interaction

Fadi Dornaika, Bogdan Raducanu
2008 2008 IEEE International Conference on Robotics and Automation  
First, we propose an automatic 3D face pose initialization scheme for our real-time tracker by adopting a 2D face detector and an eigenface system.  ...  Being able to estimate the 3D face pose in real-time, we can get a clue about user's intentions or to assess which object become his/her focus of attention. This paper has two main contributions.  ...  Section IV describes the proposed automatic 3D face pose initialization from one single image. Section V presents the real-time face and facial action tracker.  ... 
doi:10.1109/robot.2008.4543448 dblp:conf/icra/DornaikaR08 fatcat:wrgbo2tm4rh6pl7az3iuw2iexy

Automatic 3D face modeling from video

Le Xin, Qiang Wang, Jianhua Tao, Xiaoou Tang, Tieniu Tan, H. Shum
2005 Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1  
on image sequence segmentation.  ...  Then, to handle the case of low quality image captured by low cost camera, the 2D feature matching, head poses and underlying 3D face shape are estimated and refined iteratively in an efficient way based  ...  [5] presented a similar bundle adjustment procedure based on the sophisticated PCA based model learned from real 3D face data [2] .  ... 
doi:10.1109/iccv.2005.40 dblp:conf/iccv/XinWTTTS05 fatcat:hvpztbfcjnfq7dg4otg4i37nma

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.  ...  This paper presents a novel face data generation method. Specifically, we render a large number of photo-realistic face images with different attributes based on inverse rendering.  ...  However, recon-structing detailed 3D face using traditional optimization-based methods [18] is far from real-time.  ... 
doi:10.1109/tpami.2018.2837742 pmid:29994297 fatcat:qmw5eja6yrhefbtfkjvwnim6we

Joint Identification Method Research of Access System Base on RFID and 3D Face Recognition

Faquan Yang, Qunying Shao, Zihong Cai
2019 IOP Conference Series: Earth and Environment  
In this paper, the main contents of radio frequency identification, 3D(threedimensional) face recognition, associative recognition algorithm based on radio frequency and 3D face recognition.  ...  high recognition rate and the advantages of 3D face recognition identity security to achieve the purpose of security, high recognition rate and strong operability of the entrance guard system.  ...  as a real time image.  ... 
doi:10.1088/1755-1315/234/1/012099 fatcat:dokve5uezrcovn57v5jgfre2yq

Efficient 3D Face Reconstruction from a Single 2D Image by Combining Statistical and Geometrical Information [chapter]

Shu-Fan Wang, Shang-Hong Lai
2006 Lecture Notes in Computer Science  
In this paper, we present an efficient algorithm for reconstructing 3D head model from a single 2D image based on using a 3D eigenhead model.  ...  For the first part, we propose a new 3D head alignment algorithm based on an iterative coarse-to-fine scheme to establish dense point correspondences between 3D head model in the cylindrical coordinate  ...  We warp each 3D face model to the reference face model by RBF based on the landmark points.  ... 
doi:10.1007/11612704_43 fatcat:gdic2xm77fcnhagqevgjxgtcem

High quality lip-sync animation for 3D photo-realistic talking head

Lijuan Wang, Wei Han, Frank K. Soong
2012 2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
In a real-time demonstration, the life-like 3D talking head can take any input text, convert it into speech and render lipsynced speech animation photo-realistically.  ...  The resultant 3D talking head animation can be controlled by the model predicted geometric trajectory while the articulator movements, e.g., lips, are rendered with dynamic 2D texture image sequences.  ...  It renders a 3D head by mapping or wrapping 2D video images around a 3D face model.  ... 
doi:10.1109/icassp.2012.6288925 dblp:conf/icassp/WangHS12 fatcat:recujpae2jefhhxaypylaviqwy

3D-face model tracking based on a multi-resolution active search

M. Chaumont, W. Puech, Chang Wen Chen, Dan Schonfeld, Jiebo Luo
2007 Visual Communications and Image Processing 2007  
Near real-time results are also provided.  ...  This paper deals with face tracking in difficult conditions of non calibrated camera, strong head motions, thanks to a deformable 3D model.  ...  The second aim is to illustrate the real-time feasibility of approaches using a rough 3D deformable model.  ... 
doi:10.1117/12.702751 dblp:conf/vcip/ChaumontP07a fatcat:lnuk2qmdezemzobomyr4cut2py

Face Recognition by 3D Registration for the Visually Impaired Using a RGB-D Sensor [chapter]

Wei Li, Xudong Li, Martin Goldberg, Zhigang Zhu
2015 Lecture Notes in Computer Science  
Different from most 3D data based methods, we employ a one-step ICP registration approach that is much less time consuming.  ...  A number of other potential benefits in using 3D face data are also discussed, such as RGB image rectification, multiple-view face integration, and facial expression modeling, all useful for social interactions  ...  Multi-view face integration Thanks to the real-time performance of the RGB-D sensor, we could capture a sequence of face images in real-time, and therefore build a fuller model of the 2D/3D face.  ... 
doi:10.1007/978-3-319-16199-0_53 fatcat:iumtqjxccvaqrjah7avxymywxq

Automatic Analysis of Smoothing Techniques by Simulation Model Based Real-Time System for Processing 3D Human Faces

Suranjan Ganguly, Debotosh Bhattacharjee, Mita Nasipuri
2014 International Journal of Embedded Systems and Applications  
The model takes depth face image (i.e. the range face image) as input in real time and presents the improvement over original face images.  ...  KEYWORDS 3D face image, 2.5D face image, MATLAB-Simulink, Smoothing techniques, Range face image  ...  The Gaussian filter also consumes more time to process 3D human face image for real time application.  ... 
doi:10.5121/ijesa.2014.4402 fatcat:mw4sl77neval3n7htoc2c6v7ji

Single snapshot-based 3D head pose initialization for tracking in a HRI scenario

F. Dornaika, B. Raducanu
2010 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops  
First, we propose an automatic 3D head pose and person specific face shape estimation, based on a 3D deformable model. The proposed approach serves to initialize our realtime 3D face tracker.  ...  This paper presents an automatic 3D head pose initialization scheme for a real-time face tracker with application to human-robot interaction. It has two main contributions.  ...  First, we proposed an automatic 3D face pose and person-specific shape initialization scheme for a real-time appearancebased tracker, based on a statistical facial texture model and a standard deformable  ... 
doi:10.1109/cvprw.2010.5543786 dblp:conf/cvpr/DornaikaR10 fatcat:mpmasj3idrhvvmrpomuzeu5mn4

A Framework for Real-Time 3D Freeform Manipulation of Facial Video

Jungsik Park, Byung-Kuk Seo, Jong-Il Park
2019 Applied Sciences  
The video frame is then mapped as a texture to the deformed model, and the model is rendered on the video frame.  ...  Because of the high computational cost, parallelization and acceleration schemes are also adopted for real-time performance.  ...  At the same time, the 3D model is deformed by a user's input based on the as-rigid-as-possible (ARAP) method [22] .  ... 
doi:10.3390/app9214707 fatcat:xytcl2s4vbfs5ez37mkl5weefy
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