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BibRef
Earlier:
Eye-Model-Based Gaze Estimation by RGB-D Camera,
Egocentric14(606-610)
IEEE DOI
1409
Calibration.
eyeball calibration
BibRef
Mora, K.A.F.[Kenneth Alberto Funes],
Odobez, J.M.[Jean-Marc],
Gaze Estimation in the 3D Space Using RGB-D Sensors,
IJCV(118), No. 2, June 2016, pp. 194-216.
Springer DOI
1606
BibRef
Earlier:
Geometric Generative Gaze Estimation (G3E) for Remote RGB-D Cameras,
CVPR14(1773-1780)
IEEE DOI
1409
BibRef
Earlier:
Person independent 3D gaze estimation from remote RGB-D cameras,
ICIP13(2787-2791)
IEEE DOI
1402
BibRef
Earlier:
Gaze estimation from multimodal Kinect data,
Gesture12(25-30).
IEEE DOI
1207
HCI; HHI; HRI; RGB-D; gaze estimation; generative model; segmentation
3D gaze estimation
BibRef
Liu, G.[Gang],
Yu, Y.[Yu],
Mora, K.A.F.[Kenneth Alberto Funes],
Odobez, J.M.[Jean-Marc],
A Differential Approach for Gaze Estimation,
PAMI(43), No. 3, March 2021, pp. 1092-1099.
IEEE DOI
2102
Estimation, Head, Training, Artificial neural networks, Calibration,
Robustness, Feature extraction, Gaze estimation,
gaze calibration
BibRef
Yu, Y.[Yu],
Liu, G.[Gang],
Odobez, J.M.[Jean-Marc],
Improving Few-Shot User-Specific Gaze Adaptation via Gaze Redirection
Synthesis,
CVPR19(11929-11938).
IEEE DOI
2002
BibRef
Yu, Y.,
Odobez, J.M.[Jean-Marc],
Unsupervised Representation Learning for Gaze Estimation,
CVPR20(7312-7322)
IEEE DOI
2008
Estimation, Training, Face, Robustness
BibRef
Zheng, R.,
Nakano, K.,
Ishiko, H.,
Hagita, K.,
Kihira, M.,
Yokozeki, T.,
Eye-Gaze Tracking Analysis of Driver Behavior While Interacting With
Navigation Systems in an Urban Area,
HMS(46), No. 4, August 2016, pp. 546-556.
IEEE DOI
1608
Global Positioning System
BibRef
Kim, H.I.,
Kim, J.B.,
Lee, J.E.,
Lee, T.Y.,
Park, R.H.,
Gaze estimation using a webcam for region of interest detection,
SIViP(10), No. 5, May 2016, pp. 895-902.
Springer DOI
1608
BibRef
Cecotti, H.,
A Multimodal Gaze-Controlled Virtual Keyboard,
HMS(46), No. 4, August 2016, pp. 601-606.
IEEE DOI
1608
assisted living
BibRef
Lu, F.,
Gao, Y.,
Chen, X.,
Estimating 3D Gaze Directions Using Unlabeled Eye Images via
Synthetic Iris Appearance Fitting,
MultMed(18), No. 9, September 2016, pp. 1772-1782.
IEEE DOI
1609
gaze tracking
BibRef
Stengel, M.,
Magnor, M.,
Gaze-Contingent Computational Displays: Boosting perceptual fidelity,
SPMag(33), No. 5, September 2016, pp. 139-148.
IEEE DOI
1610
display instrumentation
BibRef
Nakazawa, A.[Atsushi],
Nitschke, C.[Christian],
Nishida, T.[Toyoaki],
Registration of eye reflection and scene images using an aspherical
eye model,
JOSA-A(33), No. 11, November 2016, pp. 2264-2276.
DOI Link
1609
Image analysis
BibRef
Nakazawa, A.[Atsushi],
Nitschke, C.[Christian],
Point of Gaze Estimation through Corneal Surface Reflection in an
Active Illumination Environment,
ECCV12(II: 159-172).
Springer DOI
1210
BibRef
Ogawa, T.[Taishi],
Nakazawa, A.[Atsushi],
Nishida, T.[Toyoaki],
Point of Gaze Estimation Using Corneal Surface Reflection and
Omnidirectional Camera Image,
IEICE(E101-D), No. 5, May 2018, pp. 1278-1287.
WWW Link.
1805
BibRef
Earlier:
MVA17(227-230)
DOI Link
1708
Calibration, Cameras, Pose estimation, Robustness, Three-dimensional, displays
BibRef
Cheng, H.[Hong],
Liu, Y.[Yaqi],
Fu, W.H.[Wen-Hao],
Ji, Y.L.[Yan-Li],
Yang, L.[Lu],
Zhao, Y.[Yang],
Yang, J.[Jie],
Gazing point dependent eye gaze estimation,
PR(71), No. 1, 2017, pp. 36-44.
Elsevier DOI
1707
Eye, gazing, Tracking
BibRef
Kruthiventi, S.S.S.,
Ayush, K.,
Babu, R.V.,
DeepFix:
A Fully Convolutional Neural Network for Predicting Human Eye Fixations,
IP(26), No. 9, September 2017, pp. 4446-4456.
IEEE DOI
1708
computer vision, learning (artificial intelligence), neural nets,
DeepFix, bottom-up mechanism, computer vision,
fully convolutional neural network, hand-crafted features,
human eye fixation prediction,
human visual attention mechanism,
location-biased convolutional layer,
location-dependent pattern modelling, network layers,
neuroscience, receptive fields, saliency data sets, saliency map,
saliency prediction, Biological neural networks,
Computational modeling, Convolution, Feature extraction,
Predictive models, Semantics, Visualization, Saliency prediction,
convolutional neural network, deep learning, eye, fixations
BibRef
Wang, K.[Kang],
Ji, Q.A.[Qi-Ang],
3D gaze estimation without explicit personal calibration,
PR(79), 2018, pp. 216-227.
Elsevier DOI
1804
Gaze estimation, Implicit calibration, Natural constraints, Human computer interaction
BibRef
Chen, J.X.[Ji-Xu],
Ji, Q.A.[Qi-Ang],
Probabilistic gaze estimation without active personal calibration,
CVPR11(609-616).
IEEE DOI
1106
BibRef
And:
3D gaze estimation with a single camera without IR illumination,
ICPR08(1-4).
IEEE DOI
0812
BibRef
Maio, W.[William],
Chen, J.X.[Ji-Xu],
Ji, Q.A.[Qi-Ang],
Constraint-based gaze estimation without active calibration,
FG11(627-631).
IEEE DOI
1103
BibRef
Xu, M.,
Ren, Y.,
Wang, Z.,
Liu, J.,
Tao, X.,
Saliency Detection in Face Videos: A Data-Driven Approach,
MultMed(20), No. 6, June 2018, pp. 1335-1349.
IEEE DOI
1805
Face, Feature extraction, Gaze tracking, Mouth, Object detection,
Videos, Visualization, Face video, Gaussian mixture model, visual attention
BibRef
Cristina, S.[Stefania],
Camilleri, K.P.[Kenneth P.],
Unobtrusive and pervasive video-based eye-gaze tracking,
IVC(74), 2018, pp. 21-40.
Elsevier DOI
1806
Review, Eye-gaze tracking, Pervasive, Unobtrusive, Passive
BibRef
Li, N.X.[Nan-Xiang],
Busso, C.[Carlos],
Calibration free, user-independent gaze estimation with tensor
analysis,
IVC(74), 2018, pp. 10-20.
Elsevier DOI
1806
User-independent gaze estimation, Tensor analysis,
LASSO regression, Domain adaptation, Human computer interaction
BibRef
Anantrasirichai, N.,
Daniels, K.A.J.,
Burn, J.F.,
Gilchrist, I.D.,
Bull, D.R.,
Fixation Prediction and Visual Priority Maps for Biped Locomotion,
Cyber(48), No. 8, August 2018, pp. 2294-2306.
IEEE DOI
1808
Visualization, Legged locomotion, Gaze tracking, Concrete, Rocks,
Support vector machines, Tracking, Bioinspired, eye tracking,
salience
BibRef
Kononenko, D.[Daniil],
Ganin, Y.[Yaroslav],
Sungatullina, D.[Diana],
Lempitsky, V.[Victor],
Photorealistic Monocular Gaze Redirection Using Machine Learning,
PAMI(40), No. 11, November 2018, pp. 2696-2710.
IEEE DOI
1810
BibRef
Earlier: A1, A4, Only:
Learning to look up:
Realtime monocular gaze correction using machine learning,
CVPR15(4667-4675)
IEEE DOI
1510
Real-time systems, Training, Cameras, Teleconferencing, Face,
Magnetic heads, Gaze redirection, machine learning, deep learning,
image resynthesis
BibRef
Rigas, I.,
Raffle, H.,
Komogortsev, O.V.,
Photosensor Oculography: Survey and Parametric Analysis of Designs
Using Model-Based Simulation,
HMS(48), No. 6, December 2018, pp. 670-681.
IEEE DOI
1812
eye, gaze tracking, interactive devices, object detection,
optimisation, virtual reality, photosensor oculography,
photosensor oculography (PSOG)
BibRef
Zhang, M.M.[Meng-Mi],
Ma, K.T.[Keng Teck],
Lim, J.H.[Joo Hwee],
Zhao, Q.[Qi],
Feng, J.[Jiashi],
Anticipating Where People will Look Using Adversarial Networks,
PAMI(41), No. 8, August 2019, pp. 1783-1796.
IEEE DOI
1907
BibRef
Earlier:
Deep Future Gaze:
Gaze Anticipation on Egocentric Videos Using Adversarial Networks,
CVPR17(3539-3548)
IEEE DOI
1711
BibRef
Earlier: A1, A2, A3, A4, Only:
Foveated neural network: Gaze prediction on egocentric videos,
ICIP17(3720-3724)
IEEE DOI
1803
Task analysis, Predictive models, Streaming media, Generators,
Visualization, Generative adversarial networks, Training,
visual attention.
Generators, Solid modeling,
Training, Videos.
Convolution, Feature extraction, Image resolution, Neural networks,
Egocentric Videos, Fovea.
BibRef
Chatelain, P.,
Sharma, H.,
Drukker, L.,
Papageorghiou, A.T.,
Noble, J.A.,
Evaluation of Gaze Tracking Calibration for Longitudinal Biomedical
Imaging Studies,
Cyber(50), No. 1, January 2020, pp. 153-163.
IEEE DOI
1910
Gaze tracking, Calibration, Visualization, Biomedical monitoring,
Biomedical imaging, Monitoring, Ultrasonic imaging, Accuracy,
ultrasonography
BibRef
Klein, C.[Christoph],
Ettinger, U.[Ulrich],
Eye Movement Research:
An Introduction to its Scientific Foundations and Applications,
Springer2019, ISBN: 978-3-030-20085-5
WWW Link. Collection of chapters on Eye movement.
BibRef
1900
Hecht, R.M.,
Hillel, A.B.,
Telpaz, A.,
Tsimhoni, O.,
Tishby, N.,
Information Constrained Control Analysis of Eye Gaze Distribution
Under Workload,
HMS(49), No. 6, December 2019, pp. 474-484.
IEEE DOI
1912
Gaze tracking, Visual systems, Computational modeling,
Task analysis, Visualization, Position measurement,
information constrained control (ICC)
BibRef
Martinikorena, I.,
Larumbe-Bergera, A.,
Ariz, M.,
Porta, S.,
Cabeza, R.,
Villanueva, A.,
Low Cost Gaze Estimation: Knowledge-Based Solutions,
IP(29), 2020, pp. 2328-2343.
IEEE DOI
2001
Estimation, Head, Image resolution, Gaze tracking, Databases, Cameras,
Gaze estimation methods, low resolution, eye tracking
BibRef
Wu, Z.,
Rajendran, S.,
van As, T.,
Badrinarayanan, V.,
Rabinovich, A.,
EyeNet: A Multi-Task Deep Network for Off-Axis Eye Gaze Estimation,
EyeTrack19(3683-3687)
IEEE DOI
2004
cameras, eye, gaze tracking, neural nets, EyeNet,
multitask deep network, off-axis eye gaze estimation,
multi task learning
BibRef
Singh, R.[Ronal],
Miller, T.[Tim],
Newn, J.[Joshua],
Velloso, E.[Eduardo],
Vetere, F.[Frank],
Sonenberg, L.[Liz],
Combining gaze and AI planning for online human intention recognition,
AI(284), 2020, pp. 103275.
Elsevier DOI
2005
Intention recognition, Gaze, Planning
BibRef
Huang, Y.,
Cai, M.,
Li, Z.,
Lu, F.,
Sato, Y.,
Mutual Context Network for Jointly Estimating Egocentric Gaze and
Action,
IP(29), 2020, pp. 7795-7806.
IEEE DOI
2007
Gaze prediction, egocentric video, action recognition
BibRef
Zhuang, N.,
Ni, B.,
Xu, Y.,
Yang, X.,
Zhang, W.,
Li, Z.,
Gao, W.,
MUGGLE: MUlti-Stream Group Gaze Learning and Estimation,
CirSysVideo(30), No. 10, October 2020, pp. 3637-3650.
IEEE DOI
2010
Databases, Streaming media, Observers, Head, Aggregates, Cameras,
Group gaze, LSTM, holistic, aggregative
BibRef
Chakraborty, S.[Suvodip],
Dasgupta, A.[Anirban],
Routray, A.[Aurobinda],
Localization of eye Saccadic signatures in Electrooculograms using
sparse representations with data driven dictionaries,
PRL(139), 2020, pp. 104-111.
Elsevier DOI
2011
EOG, Saccades, Sparse representation, DTW, Distance metric
BibRef
Zabihi, S.[Samad],
Mansoori, E.[Eghbal],
Yazdi, M.[Mehran],
Exploiting object features in deep gaze prediction models,
JVCIR(73), 2020, pp. 102931.
Elsevier DOI
2012
Human visual system, Deep gaze prediction model,
Image segmentation, Object detection, Prior bias,
Convolutional network structure
BibRef
Liu, J.,
Chi, J.,
Hu, W.,
Wang, Z.,
3D Model-Based Gaze Tracking Via Iris Features With a Single Camera
and a Single Light Source,
HMS(51), No. 2, April 2021, pp. 75-86.
IEEE DOI
2103
Cornea, Pupils, Iris, Estimation, Cameras,
Solid modeling, 3D gaze estimation, iris radius, kappa angle,
single-camera-single-light-source
BibRef
Her, P.[Paris],
Manderle, L.[Logan],
Dias, P.A.[Philipe A.],
Medeiros, H.[Henry],
Odone, F.[Francesca],
Keypoint-based Gaze Tracking,
CARE20(144-155).
Springer DOI
2103
BibRef
Yvinec, E.,
Dapogny, A.,
Bailly, K.,
DeeSCo: Deep heterogeneous ensemble with Stochastic Combinatory loss
for gaze estimation,
FG20(146-152)
IEEE DOI
2102
Estimation, Heating systems, Stochastic processes,
Predictive models, Agriculture, Ensemble methods
BibRef
Zhang, X.C.[Xu-Cong],
Park, S.[Seonwook],
Beeler, T.[Thabo],
Bradley, D.[Derek],
Tang, S.[Siyu],
Hilliges, O.[Otmar],
ETH-Xgaze: A Large Scale Dataset for Gaze Estimation Under Extreme Head
Pose and Gaze Variation,
ECCV20(V:365-381).
Springer DOI
2011
BibRef
Sümer, Ö.,
Gerjets, P.,
Trautwein, U.,
Kasneci, E.,
Attention Flow: End-to-End Joint Attention Estimation,
WACV20(3316-3325)
IEEE DOI
2006
Estimation, Videos, Face, Task analysis, Visualization, Psychology
BibRef
Wang, Z.,
Zhao, J.,
Lu, C.,
Huang, H.,
Yang, F.,
Li, L.,
Guo, Y.,
Learning to Detect Head Movement in Unconstrained Remote Gaze
Estimation in the Wild,
WACV20(3432-3441)
IEEE DOI
2006
Face, Estimation, Task analysis, Cameras, Image quality, Lighting
BibRef
Berga, D.,
Vidal, X.R.F.,
Otazu, X.,
Pardo, X.M.,
SID4VAM: A Benchmark Dataset With Synthetic Images for Visual
Attention Modeling,
ICCV19(8788-8797)
IEEE DOI
2004
Dataset, Gaze Tracking. gaze tracking, learning (artificial intelligence), neural nets,
SID4VAM, visual attention modeling, saliency metrics, Benchmark testing
BibRef
Park, S.,
Mello, S.D.,
Molchanov, P.,
Iqbal, U.,
Hilliges, O.,
Kautz, J.,
Few-Shot Adaptive Gaze Estimation,
ICCV19(9367-9376)
IEEE DOI
2004
Code, Gaze.
WWW Link. gaze tracking, learning (artificial intelligence),
motion estimation, neural net architecture,
Robustness
BibRef
Kellnhofer, P.,
Recasens, A.,
Stent, S.,
Matusik, W.,
Torralba, A.,
Gaze360: Physically Unconstrained Gaze Estimation in the Wild,
ICCV19(6911-6920)
IEEE DOI
2004
Code, Gaze.
WWW Link. gaze tracking, pose estimation, stereo image processing,
gaze benchmark datasets, cross-dataset domain adaptation, Lighting
BibRef
Fan, L.,
Wang, W.,
Zhu, S.,
Tang, X.,
Huang, S.,
Understanding Human Gaze Communication by Spatio-Temporal Graph
Reasoning,
ICCV19(5723-5732)
IEEE DOI
2004
gaze tracking, graph theory, message passing, neural nets,
video signal processing, human gaze communication, Psychology
BibRef
Chang, Z.Q.[Zhuo-Qing],
Di Martino, J.M.[J. Matias],
Qiu, Q.[Qiang],
Espinosa, S.[Steven],
Sapiro, G.[Guillermo],
SalGaze: Personalizing Gaze Estimation using Visual Saliency,
Gaze19(1169-1178)
IEEE DOI
2004
convolutional neural nets, gaze tracking, optimisation,
pose estimation, video signal processing, SalGaze, visual saliency,
Calibration
BibRef
Lindén, E.,
Sjöstrand, J.,
Proutiere, A.,
Learning to Personalize in Appearance-Based Gaze Tracking,
Gaze19(1140-1148)
IEEE DOI
2004
gaze tracking, neural nets, SPAZE, personal variations,
3-dimensional latent parameter space, gaze tracking
BibRef
Chen, Z.,
Deng, D.,
Pi, J.,
Shi, B.E.,
Unsupervised Outlier Detection in Appearance-Based Gaze Estimation,
RLQ19(1088-1097)
IEEE DOI
2004
computer vision, feature extraction, gaze tracking,
image colour analysis, learning (artificial intelligence),
Outlier detection
BibRef
Cordel, II, M.O.[Macario O.],
Fan, S.J.[Shao-Jing],
Shen, Z.[Zhiqi],
Kankanhalli, M.S.[Mohan S.],
Emotion-Aware Human Attention Prediction,
CVPR19(4021-4030).
IEEE DOI
2002
BibRef
Guan, J.[Jian],
Yin, L.M.[Li-Ming],
Sun, J.G.[Jian-Guo],
Qi, S.H.[Shu-Han],
Wang, X.[Xuan],
Liao, Q.[Qing],
Enhanced Gaze Following via Object Detection and Human Pose Estimation,
MMMod20(II:502-513).
Springer DOI
2003
BibRef
Xiong, Y.Y.[Yun-Yang],
Kim, H.W.J.[Hyun-Woo J.],
Singh, V.[Vikas],
Mixed Effects Neural Networks (MeNets) With Applications to Gaze
Estimation,
CVPR19(7735-7744).
IEEE DOI
2002
BibRef
Bruckert, A.,
Lam, Y.H.,
Christie, M.,
Meur, O.L.,
Deep Learning For Inter-Observer Congruency Prediction,
ICIP19(3766-3770)
IEEE DOI
1910
visual dispersion, gaze patterns, prediction, deep features
BibRef
Chen, Z.K.[Zhao-Kang],
Shi, B.E.[Bertram E.],
Offset Calibration for Appearance-Based Gaze Estimation via Gaze
Decomposition,
WACV20(259-268)
IEEE DOI
2006
BibRef
Earlier:
Appearance-Based Gaze Estimation Using Dilated-Convolutions,
ACCV18(VI:309-324).
Springer DOI
1906
Calibration, Complexity theory, Feature extraction,
Estimation error, Lighting, Head
BibRef
Yu, Y.[Yu],
Liu, G.[Gang],
Odobez, J.M.[Jean-Marc],
Deep Multitask Gaze Estimation with a Constrained Landmark-Gaze Model,
HBU18(II:456-474).
Springer DOI
1905
BibRef
Tavakoli, H.R.,
Rahtu, E.,
Kannala, J.,
Borji, A.,
Digging Deeper Into Egocentric Gaze Prediction,
WACV19(273-282)
IEEE DOI
1904
computer vision, feature extraction, gaze tracking,
image sequences, recurrent neural nets, video signal processing,
Computer vision
BibRef
Cao, L.,
Gou, C.,
Wang, K.,
Xiong, G.,
Wang, F.,
Gaze-Aided Eye Detection via Appearance Learning,
ICPR18(1965-1970)
IEEE DOI
1812
Estimation, Shape, Feature extraction, Lighting, Training,
Solid modeling, Linear regression
BibRef
Jyoti, S.,
Dhall, A.,
Automatic Eye Gaze Estimation using Geometric & Texture-based
Networks,
ICPR18(2474-2479)
IEEE DOI
1812
Estimation, Feature extraction, Face, Neurons, Task analysis, Image resolution
BibRef
Wang, K.,
Zhao, R.,
Ji, Q.,
A Hierarchical Generative Model for Eye Image Synthesis and Eye Gaze
Estimation,
CVPR18(440-448)
IEEE DOI
1812
Computer vision, Pattern recognition
BibRef
Vasudevan, A.B.,
Dai, D.,
Van Gool, L.J.,
Object Referring in Videos with Language and Human Gaze,
CVPR18(4129-4138)
IEEE DOI
1812
Computer vision, Pattern recognition
BibRef
Huang, Y.F.[Yi-Fei],
Cai, M.J.[Min-Jie],
Li, Z.Q.[Zhen-Qiang],
Sato, Y.[Yoichi],
Predicting Gaze in Egocentric Video by Learning Task-Dependent
Attention Transition,
ECCV18(II: 789-804).
Springer DOI
1810
BibRef
Park, S.[Seonwook],
Spurr, A.[Adrian],
Hilliges, O.[Otmar],
Deep Pictorial Gaze Estimation,
ECCV18(XIII: 741-757).
Springer DOI
1810
BibRef
Zhang, R.[Ruohan],
Liu, Z.[Zhuode],
Zhang, L.[Luxin],
Whritner, J.A.[Jake A.],
Muller, K.S.[Karl S.],
Hayhoe, M.M.[Mary M.],
Ballard, D.H.[Dana H.],
AGIL: Learning Attention from Human for Visuomotor Tasks,
ECCV18(XI: 692-707).
Springer DOI
1810
Where is the person looking for robot learning a task from a person.
BibRef
Cortacero, K.,
Fischer, T.,
Demiris, Y.,
RT-BENE: A Dataset and Baselines for Real-Time Blink Estimation in
Natural Environments,
Gaze19(1159-1168)
IEEE DOI
2004
convolutional neural nets, estimation theory, gaze tracking,
inference mechanisms, blink estimation methods,
Convolutional neural network
BibRef
Fischer, T.[Tobias],
Chang, H.J.[Hyung Jin],
Demiris, Y.[Yiannis],
RT-GENE: Real-Time Eye Gaze Estimation in Natural Environments,
ECCV18(X: 339-357).
Springer DOI
1810
BibRef
He, X.C.[Xuan-Chao],
Liu, Z.J.[Zhe-Jun],
A Novel Way of Estimating a User's Focus of Attention in a Virtual
Environment,
VAMR18(I: 71-81).
Springer DOI
1807
BibRef
Ngo, T.,
Manjunath, B.S.,
Saccade gaze prediction using a recurrent neural network,
ICIP17(3435-3439)
IEEE DOI
1803
Computational modeling, Feature extraction, Gaze tracking,
Hidden Markov models, Logic gates, Training, Visualization,
scanpath
BibRef
Cui, W.,
Cui, J.,
Zha, H.,
Specialized gaze estimation for children by convolutional neural
network and domain adaptation,
ICIP17(3305-3309)
IEEE DOI
1803
Convolutional neural networks, Estimation, Feature extraction,
Head, Kernel, Training,
Semi-Supervised Learning
BibRef
Wu, X.M.[Xue-Mei],
Li, J.[Jing],
Wu, Q.[Qiang],
Sun, J.D.[Jian-De],
Yan, H.[Hua],
Block-Wise Gaze Estimation Based on Binocular Images,
PSIVT17(477-487).
Springer DOI
1802
BibRef
Recasens, A.,
Vondrick, C.,
Khosla, A.,
Torralba, A.,
Following Gaze in Video,
ICCV17(1444-1452)
IEEE DOI
1802
gaze tracking, learning (artificial intelligence),
video signal processing, VideoGaze, gaze following, gaze location,
BibRef
Deng, H.,
Zhu, W.,
Monocular Free-Head 3D Gaze Tracking with Deep Learning and Geometry
Constraints,
ICCV17(3162-3171)
IEEE DOI
1802
eye, feature extraction, gaze tracking, image motion analysis,
learning (artificial intelligence), pose estimation, CPU,
Transforms
BibRef
Shrivastava, A.[Ashish],
Pfister, T.[Tomas],
Tuzel, O.[Oncel],
Susskind, J.[Joshua],
Wang, W.[Wenda],
Webb, R.[Russell],
Learning from Simulated and Unsupervised Images through Adversarial
Training,
CVPR17(2242-2251)
IEEE DOI
1711
Award, CVPR. Computational modeling, Data models,
Neural networks, Pose estimation, Training
Training on synthetic images.
Gaze and hand pose examples.
BibRef
Ren, Y.,
Wang, Z.,
Xu, M.,
Dong, H.,
Li, S.,
Learning Dynamic GMM for Attention Distribution on Single-Face Videos,
MotionRep17(1632-1641)
IEEE DOI
1709
Computer vision, Conferences, Databases, Face, Gaze tracking, Mouth,
Pattern, recognition
BibRef
Tripathi, S.,
Guenter, B.,
A Statistical Approach to Continuous Self-Calibrating Eye Gaze
Tracking for Head-Mounted Virtual Reality Systems,
WACV17(862-870)
IEEE DOI
1609
Calibration, Cameras, Gaze tracking, Headphones, Prototypes, Resists,
Solid, modeling
BibRef
Mitsugami, I.,
Okinaka, Y.,
Yagi, Y.,
Gaze Estimation Based on Eyeball-Head Dynamics,
HAAHDC17(48-52)
IEEE DOI
1609
approximation theory, behavioural sciences computing, cameras,
gaze tracking, approximation model, body-mounted camera images,
dynamic relation, dynamical model, eye tracking devices, eyeball,
eyeball-head dynamics, gaze direction, gaze estimation,
head-mounted camera images, surveillance views, Cameras,
Estimation, Head, Mathematical model, Springs, Surveillance, Videos
BibRef
Jensen, R.R.[Rasmus R.],
Stets, J.D.[Jonathan D.],
Suurmets, S.[Seidi],
Clement, J.[Jesper],
Aanæs, H.[Henrik],
Wearable Gaze Trackers: Mapping Visual Attention in 3D,
SCIA17(I: 66-76).
Springer DOI
1706
BibRef
Wang, K.[Kang],
Ji, Q.,
Real Time Eye Gaze Tracking with 3D Deformable Eye-Face Model,
ICCV17(1003-1011)
IEEE DOI
1802
BibRef
Earlier:
Real time eye gaze tracking with Kinect,
ICPR16(2752-2757)
IEEE DOI
1705
calibration, eye, face recognition,
image motion analysis, pose estimation, 2D facial landmarks,
Cameras, Computational modeling, Estimation, Gaze tracking, Head,
Solid modeling.
BibRef
Kacete, A.[Amine],
Séguier, R.[Renaud],
Collobert, M.[Michel],
Royan, J.[Jérôme],
Unconstrained Gaze Estimation Using Random Forest Regression Voting,
ACCV16(III: 419-432).
Springer DOI
1704
BibRef
Jeni, L.A.[László A.],
Cohn, J.F.[Jeffrey F.],
Person-Independent 3D Gaze Estimation Using Face Frontalization,
ChaLearn16(792-800)
IEEE DOI
1612
BibRef
Yu, P.,
Zhou, J.,
Wu, Y.,
Learning Reconstruction-Based Remote Gaze Estimation,
CVPR16(3447-3455)
IEEE DOI
1612
BibRef
Su, Y.C.[Yu-Chuan],
Grauman, K.[Kristen],
Detecting Engagement in Egocentric Video,
ECCV16(V: 454-471).
Springer DOI
1611
BibRef
Qodseya, M.[Mahmoud],
Sanzari, M.[Marta],
Ntouskos, V.[Valsamis],
Pirri, F.[Fiora],
A3D: A Device for Studying Gaze in 3D,
Egocentric16(I: 572-588).
Springer DOI
1611
BibRef
Wood, E.[Erroll],
Baltrušaitis, T.[Tadas],
Morency, L.P.[Louis-Philippe],
Robinson, P.[Peter],
Bulling, A.[Andreas],
A 3D Morphable Eye Region Model for Gaze Estimation,
ECCV16(I: 297-313).
Springer DOI
1611
BibRef
Wood, E.[Erroll],
Baltrušaitis, T.[Tadas],
Zhang, X.[Xucong],
Sugano, Y.[Yusuke],
Robinson, P.,
Bulling, A.[Andreas],
Rendering of Eyes for Eye-Shape Registration and Gaze Estimation,
ICCV15(3756-3764)
IEEE DOI
1602
Computational modeling
BibRef
Isogawa, M.,
Mikami, D.,
Takahashi, K.,
Kojima, A.,
Eye gaze analysis and learning-to-rank to obtain the most preferred
result in image inpainting,
ICIP16(3538-3542)
IEEE DOI
1610
Correlation
BibRef
Hoyoux, T.,
Wannez, S.,
Langohr, T.,
Wertz, J.,
Laureys, S.,
Verly, J.G.,
A new computer vision-based system to help clinicians objectively
assess visual pursuit with the moving mirror stimulus for the
diagnosis of minimally conscious state,
WACV16(1-8)
IEEE DOI
1606
Cameras
BibRef
Podder, P.K.[Pallab Kanti],
Paul, M.[Manoranjan],
Murshed, M.[Manzur],
A Novel Quality Metric Using Spatiotemporal Correlational Data of
Human Eye Maneuver,
DICTA17(1-8)
IEEE DOI
1804
BibRef
Earlier:
A Novel No-reference Subjective Quality Metric for Free Viewpoint Video
Using Human Eye Movement,
PSIVT17(237-251).
Springer DOI
1802
eye, gaze tracking, image motion analysis, Gaze-duration features,
MOS, concentrated eye- traversing approach, eye traversal,
Visualization
BibRef
Podder, P.K.[Pallab Kanti],
Paul, M.[Manoranjan],
Debnath, T.,
Murshed, M.[Manzur],
An Analysis of Human Engagement Behaviour Using Descriptors from
Human Feedback, Eye Tracking, and Saliency Modelling,
DICTA15(1-8)
IEEE DOI
1603
gaze tracking
BibRef
Zhang, X.[Xucong],
Sugano, Y.[Yusuke],
Fritz, M.[Mario],
Bulling, A.[Andreas],
Appearance-based gaze estimation in the wild,
CVPR15(4511-4520)
IEEE DOI
1510
BibRef
Qin, Y.[Yalun],
Lien, K.C.[Kuo-Chin],
Turk, M.A.[Matthew A.],
Höllerer, T.[Tobias],
Eye Gaze Correction with a Single Webcam Based on Eye-Replacement,
ISVC15(I: 599-609).
Springer DOI
1601
BibRef
Draelos, M.[Mark],
Qiu, Q.A.[Qi-Ang],
Bronstein, A.[Alex],
Sapiro, G.[Guillermo],
Intel realsense = Real low cost gaze,
ICIP15(2520-2524)
IEEE DOI
1512
Intel Realsense3D camera for gaze.
BibRef
Koutras, P.[Petros],
Maragos, P.[Petros],
Estimation of eye gaze direction angles based on active appearance
models,
ICIP15(2424-2428)
IEEE DOI
1512
Eye gaze estimation
BibRef
Lopez, S.[Stéphanie],
Revel, A.[Arnaud],
Lingrand, D.[Diane],
Precioso, F.[Frédéric],
Handling Noisy Labels in Gaze-Based CBIR System,
ACIVS17(396-405).
Springer DOI
1712
BibRef
Earlier:
One gaze is worth ten thousand (key-)words,
ICIP15(3150-3154)
IEEE DOI
1512
Eye-tracking
BibRef
Bartoli, F.[Federico],
Lisanti, G.[Giuseppe],
Seidenari, L.[Lorenzo],
del Bimbo, A.[Alberto],
User interest profiling using tracking-free coarse gaze estimation,
ICPR16(1839-1844)
IEEE DOI
1705
Cameras, Estimation, Feature extraction, Head, Image resolution,
Reliability, Tracking
BibRef
Bartoli, F.[Federico],
Lisanti, G.[Giuseppe],
Seidenari, L.[Lorenzo],
Karaman, S.[Svebor],
del Bimbo, A.[Alberto],
MuseumVisitors: A dataset for pedestrian and group detection, gaze
estimation and behavior understanding,
Crowd15(19-27)
IEEE DOI
1510
Calibration
BibRef
Liu, N.[Nian],
Han, J.W.[Jun-Wei],
Zhang, D.W.[Ding-Wen],
Wen, S.F.[Shi-Feng],
Liu, T.M.[Tian-Ming],
Predicting eye fixations using convolutional neural networks,
CVPR15(362-370)
IEEE DOI
1510
BibRef
Scheel, C.[Christian],
Staadt, O.[Oliver],
Mobile 3D Gaze Tracking Calibration,
CRV15(176-183)
IEEE DOI
1507
Calibration
BibRef
Ferhat, O.[Onur],
Llanza, A.[Arcadi],
Vilariño, F.[Fernando],
A Feature-Based Gaze Estimation Algorithm for Natural Light Scenarios,
IbPRIA15(569-576).
Springer DOI
1506
BibRef
He, Q.H.[Qiu-Hai],
Hong, X.P.[Xiao-Peng],
Chai, X.J.[Xiu-Juan],
Holappa, J.[Jukka],
Zhao, G.Y.[Guo-Ying],
Chen, X.L.[Xi-Lin],
Pietikäinen, M.[Matti],
OMEG: Oulu Multi-Pose Eye Gaze Dataset,
SCIA15(418-427).
Springer DOI
1506
Dataset, Gaze.
BibRef
Dubey, R.[Rachit],
Dave, A.[Akshat],
Ghanem, B.[Bernard],
Improving Saliency Models by Predicting Human Fixation Patches,
ACCV14(III: 330-345).
Springer DOI
1504
BibRef
Arar, N.M.[Nuri Murat],
Gao, H.[Hua],
Thiran, J.P.[Jean-Philippe],
A Regression-Based User Calibration Framework for Real-Time Gaze
Estimation,
CirSysVideo(27), No. 12, December 2017, pp. 2623-2638.
IEEE DOI
1712
BibRef
Earlier:
Towards Convenient Calibration for Cross-Ratio Based Gaze Estimation,
WACV15(642-648)
IEEE DOI
1503
Calibration, Cameras, Estimation, Head, Human computer interaction,
Real-time systems, Robustness, Calibration,
regression analysis.
Accuracy
BibRef
Wang, X.Y.[Xi-Ying],
Xue, K.[Kang],
Nam, D.[Dongkyung],
Han, J.[Jaejoon],
Wang, H.T.[Hai-Tao],
Hierarchical gaze estimation based on adaptive feature learning,
ICIP14(3347-3351)
IEEE DOI
1502
Calibration
BibRef
Choi, J.[Jinsoo],
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Kweon, I.S.[In So],
GMM-based saliency aggregation for calibration-free gaze estimation,
ICIP14(1096-1099)
IEEE DOI
1502
Accuracy
BibRef
Sharma, P.[Puneet],
Cheikh, F.A.[Faouzi A.],
Hardeberg, J.Y.[Jon Y.],
Spatio-temporal analysis of eye fixations data in images,
ICIP14(1150-1154)
IEEE DOI
1502
Computational modeling
BibRef
Xiong, C.S.[Chun-Shui],
Huang, L.[Lei],
Liu, C.P.[Chang-Ping],
Gaze Estimation Based on 3D Face Structure and Pupil Centers,
ICPR14(1156-1161)
IEEE DOI
1412
Calibration
BibRef
Schneider, T.[Timo],
Schauerte, B.[Boris],
Stiefelhagen, R.[Rainer],
Manifold Alignment for Person Independent Appearance-Based Gaze
Estimation,
ICPR14(1167-1172)
IEEE DOI
1412
Discrete cosine transforms
BibRef
Egger, B.[Bernhard],
Schönborn, S.[Sandro],
Forster, A.[Andreas],
Vetter, T.[Thomas],
Pose Normalization for Eye Gaze Estimation and Facial Attribute
Description from Still Images,
GCPR14(317-327).
Springer DOI
1411
BibRef
Wisniewska, J.[Joanna],
Rezaei, M.[Mahdi],
Klette, R.[Reinhard],
Robust Eye Gaze Estimation,
ICCVG14(636-644).
Springer DOI
1410
BibRef
Wojciechowski, A.[Adam],
Fornalczyk, K.[Krzysztof],
Exponentially Smoothed Interactive Gaze Tracking Method,
ICCVG14(645-652).
Springer DOI
1410
BibRef
Nitschke, C.,
Nakazawa, A.,
Nishida, T.,
I See What You See: Point of Gaze Estimation from Corneal Images,
ACPR13(298-304)
IEEE DOI
1408
calibration
BibRef
Li, Y.B.[Ying-Bo],
Monaghan, D.S.[David S.],
O'Connor, N.E.[Noel E.],
Real-Time Gaze Estimation Using a Kinect and a HD Webcam,
MMMod14(I: 506-517).
Springer DOI
1405
BibRef
Kim, J.W.[Jae-Woo],
Kim, J.O.[Jong-Ok],
Video viewer state estimation using gaze tracking and video content
analysis,
VCIP13(1-6)
IEEE DOI
1402
gaze tracking
BibRef
Cheon, M.,
Lee, J.S.[Jong-Seok],
Gaze pattern analysis for video contents with different frame rates,
VCIP13(1-5)
IEEE DOI
1402
gaze tracking
BibRef
Kimura, T.,
Huang, R.[Rong],
Uchida, S.,
Iwamura, M.,
Omachi, S.,
Kise, K.,
The Reading-Life Log: Technologies to Recognize Texts That We Read,
ICDAR13(91-95)
IEEE DOI
1312
dynamic programming
BibRef
Kunze, K.,
Kawaichi, H.,
Yoshimura, K.,
Kise, K.,
The Wordometer: Estimating the Number of Words Read Using Document
Image Retrieval and Mobile Eye Tracking,
ICDAR13(25-29)
IEEE DOI
1312
document image processing
BibRef
Toyama, T.,
Dengel, A.,
Suzuki, W.,
Kise, K.,
Wearable Reading Assist System: Augmented Reality Document Combining
Document Retrieval and Eye Tracking,
ICDAR13(30-34)
IEEE DOI
1312
augmented reality
BibRef
Vrânceanu, R.[Ruxandra],
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NLP EAC Recognition by Component Separation in the Eye Region,
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Springer DOI
1311
Eye Accessing Cues (EACs) used in Neuro-Linguistic Programming (NLP).
Gaze.
BibRef
Pires, B.R.[Bernardo R.],
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CVSports13(1005-1010)
IEEE DOI
1309
Gaze Tracking;Iris Detection;Sports;Visible-spectrum
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Martinez, F.,
Carbone, A.,
Pissaloux, E.,
Combining first-person and third-person gaze for attention
recognition,
FG13(1-6)
IEEE DOI
1309
behavioural sciences
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Hernandez, J.,
Liu, Z.C.[Zi-Cheng],
Hulten, G.,
de Barr, D.,
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Zhang, Z.Y.[Zheng-You],
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FG13(1-7)
IEEE DOI
1309
feature extraction
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Mansanet, J.[Jordi],
Albiol, A.[Alberto],
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Mossi, J.M.[Jose Manuel],
Albiol, A.[Antonio],
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IbPRIA13(881-888).
Springer DOI
1307
BibRef
Martinez, F.[Francis],
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Pissaloux, E.[Edwige],
Gaze estimation using local features and non-linear regression,
ICIP12(1961-1964).
IEEE DOI
1302
BibRef
Waizenegger, W.,
Atzpadin, N.,
Schreer, O.,
Feldmann, I.,
Eisert, P.,
Model based 3D gaze estimation for provision of virtual eye contact,
ICIP12(1973-1976).
IEEE DOI
1302
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Pan, Y.[Ye],
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Preserving gaze direction in teleconferencing using a camera array and
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3DTV12(1-4).
IEEE DOI
1212
BibRef
Wang, R.I.[Rui I.],
Pelfrey, B.[Brandon],
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House, D.H.[Donald H.],
Online Gaze Disparity via Bioncular Eye Tracking on Stereoscopic
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3DIMPVT12(184-191).
IEEE DOI
1212
BibRef
Schauerte, B.[Boris],
Stiefelhagen, R.[Rainer],
Quaternion-Based Spectral Saliency Detection for Eye Fixation
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ECCV12(II: 116-129).
Springer DOI
1210
BibRef
Tomaszewska, A.[Anna],
Real-time Algorithms Optimization Based on a Gaze-point Position,
ISVC12(II: 746-755).
Springer DOI
1209
BibRef
Judd, T.[Tilke],
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WACV13(369-376).
IEEE DOI
1303
BibRef
Tsukada, A.[Akihiro],
Shino, M.[Motoki],
Devyver, M.[Michael],
Kanade, T.[Takeo],
Illumination-free gaze estimation method for first-person vision
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CVVT11(2084-2091).
IEEE DOI
1201
BibRef
Grindinger, T.J.[Thomas J.],
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Algorithm for Discriminating Aggregate Gaze Points:
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Gaze10(390-399).
Springer DOI
1109
BibRef
Takatani, M.[Manabu],
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Gaze10(400-409).
Springer DOI
1109
BibRef
Toyama, T.[Takumi],
Object Recognition System Guided by Gaze of the User with a Wearable
Eye Tracker,
DAGM11(444-449).
Springer DOI
1109
BibRef
Krahnstoever, N.[Nils],
Chang, M.C.[Ming-Ching],
Ge, W.[Weina],
Gaze and body pose estimation from a distance,
AVSBS11(11-16).
IEEE DOI
1111
BibRef
Sankaranarayanan, K.[Karthik],
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Tracking gaze direction from far-field surveillance cameras,
WACV11(519-526).
IEEE DOI
1101
BibRef
Fritz, G.[Gerald],
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Semantic analysis of human visual attention in mobile eye tracking
applications,
ICIP10(4565-4568).
IEEE DOI
1009
BibRef
Sun, X.S.[Xiao-Shuai],
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Liu, S.H.[Shao-Hui],
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ICIP10(1093-1096).
IEEE DOI
1009
BibRef
Liang, Z.[Zhen],
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ICIP10(1105-1108).
IEEE DOI
1009
BibRef
Tagawa, N.[Norio],
Depth Perception Model Based on Fixational Eye Movements Using Bayesian
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ICPR10(1662-1665).
IEEE DOI
1008
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Yonetani, R.[Ryo],
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ICPR10(101-104).
IEEE DOI
1008
BibRef
Yang, Y.Z.[Ye-Zhou],
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Bu, J.J.[Jia-Jun],
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What Is the Chance of Happening: A New Way to Predict Where People Look,
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1009
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Doshi, A.[Anup],
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Attention estimation by simultaneous observation of viewer and view,
CVPR4HB10(21-27).
IEEE DOI
1006
BibRef
Earlier:
Head and gaze dynamics in visual attention and context learning,
VCL-ViSU09(77-84).
IEEE DOI
0906
BibRef
Reale, M.[Michael],
Hung, T.[Terry],
Yin, L.J.[Li-Jun],
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1006
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Sato, Y.[Yoichi],
Calibration-free gaze sensing using saliency maps,
CVPR10(2667-2674).
IEEE DOI
1006
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An eye for an eye: A single camera gaze-replacement method,
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IEEE DOI
1006
BibRef
Vivero, V.,
Barreira, N.,
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Cabrero, D.,
Remeseiro, B.,
Directional Gaze Analysis in Webcam Video Sequences,
ICIAR10(II: 316-324).
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1006
BibRef
Wang, H.B.[Hai-Bo],
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ACCV09(II: 120-129).
Springer DOI
0909
BibRef
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Spagnolo, A.[Alessia],
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GW09(34-46).
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0902
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Li, X.K.[Xiao-Kun],
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An efficient method for eye tracking and eye-gazed FOV estimation,
ICIP09(2597-2600).
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0911
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IEEE DOI
0912
BibRef
Grillon, H.[Helena],
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Maïm, J.[Jonathan],
Thalmann, D.[Daniel],
Gaze Behaviors for Virtual Crowd Characters,
COST08(201-213).
Springer DOI
0810
BibRef
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Adaptive Regulation of CCD Camera in Eye Gaze Tracking System,
CISP09(1-4).
IEEE DOI
0910
BibRef
Valenti, R.[Roberto],
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CIAP09(662-671).
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0909
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Shang, J.C.[Jun-Chen],
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Dominance modulates the effects of eye gaze on the perception of
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FG08(1-6).
IEEE DOI
0809
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A fast and robust 3D head pose and gaze estimation system,
FG08(1-2).
IEEE DOI
0809
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Gaze tracking by Binocular Vision and LBP features,
ICPR08(1-4).
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0812
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0807
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Gaze Direction Estimation with a Single Camera Based on Four Reference
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ACCV06(I:419-428).
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0601
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Earlier: A2, A1, A3:
Attention Monitoring Based on Temporal Signal-Behavior Structures,
CVHCI05(100).
Springer DOI
0601
BibRef
Liu, X.M.[Xiao-Ming],
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0709
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CVHCI07(138-145).
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0710
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Batista, J.P.[Jorge P.],
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Nonlinear Eye Gaze Mapping Function Estimation via Support Vector
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ICPR06(I: 1132-1135).
IEEE DOI
0609
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IEEE DOI
0606
Sparse Semi-Supervised Gaussian Process.
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Mulligan, J.B.[Jeffrey B.],
A Tree-Structured Model of Visual Appearance Applied to Gaze Tracking,
ISVC05(303-312).
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0512
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0502
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Kiat, L.C.[Lim Choon],
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One-time calibration eye gaze detection system,
ICIP04(II: 873-876).
IEEE DOI
0505
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Ukita, N.,
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Kidode, M.,
Extracting a gaze region with the history of view directions,
ICPR04(IV: 957-960).
IEEE DOI
0409
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Mitsugami, I.,
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Kidode, M.,
Estimation of 3D gazed position using view lines,
CIAP03(466-471).
IEEE DOI
0310
BibRef
Beymer, D.,
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Eye gaze tracking using an active stereo head,
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IEEE DOI
0307
BibRef
Tan, K.H.[Kar-Han],
Kriegman, D.J.,
Ahuja, N.,
Appearance-based eye gaze estimation,
WACV02(191-195).
IEEE DOI
0303
BibRef
Sugimoto, A.,
Nakayama, A.,
Matsuyama, T.,
Detecting a gazing region by visual direction and stereo cameras,
ICPR02(III: 278-282).
IEEE DOI
0211
BibRef
Zhu, J.[Jie],
Yang, J.[Jie],
Subpixel eye gaze tracking,
AFGR02(124-129).
IEEE DOI
0206
BibRef
Heinzmann, J.,
Zelinsky, A.,
3-D Facial Pose and Gaze Point Estimation Using a Robust Real-Time
Tracking Paradigm,
AFGR98(142-147).
IEEE DOI
BibRef
9800
Earlier:
Robust Real-Time Face Tracking and Gesture Recognition,
IJCAI97(1525-1530).
BibRef
Earlier: A2, A2:
Real-time visual recognition of facial gestures for human-computer
interaction,
AFGR96(351-356).
IEEE DOI
9610
BibRef
Newman, R.A.[Rhys A.],
Matsumoto, Y.[Yoshio],
Rougeaux, S.[Sebastien],
Zelinsky, A.[Alexander],
Real-Time Stereo Tracking for Head Pose and Gaze Estimation,
AFGR00(122-128).
IEEE DOI
0003
BibRef
Edwards, T.[Timothy],
Heinzmann, J.[Jochen],
Rougeaux, S.[Sebastien],
Zelinsky, A.[Alex],
Facial image processing system,
US_Patent7,043,056, May 9, 2006
WWW Link.
BibRef
0605
Matsumoto, Y.[Yoshio],
Zelinsky, A.[Alexander],
An Algorithm for Real-time Stereo Vision Implementation of Head Pose
and Gaze Direction Measurement,
AFGR00(499-504).
IEEE DOI
0003
BibRef
Earlier:
Real-Time Stereo Face Tracking System for Visual Human Interfaces,
RATFG99(xx-yy).
BibRef
Beardsley, P.A.[Paul Anthony],
System for classifying an individual's gaze direction,
US_Patent6,154,559, Nov 28, 2000
WWW Link.
BibRef
0011
And:
A Qualitative Approach to Classifying Head and Eye Pose,
WACV98(208-213).
IEEE DOI
9809
BibRef
Pappu, R.,
Beardsley, P.A.,
A Qualitative Approach to Classifying Gaze Direction,
AFGR98(160-165).
IEEE DOI
BibRef
9800
Rikert, T.D.,
Jones, M.J.,
Gaze Estimation Using Morphable Models,
AFGR98(436-441).
IEEE DOI
BibRef
9800
Xu, L.Q.,
Machin, D.,
Sheppard, P.,
A Novel Approach to Real-time Non-intrusive Gaze Finding,
BMVC98(xx-yy).
BibRef
9800
Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Eye, Gaze Computer Interface, Applied Gaze Tracking .