15.1.2.1 Eye Fixation

Chapter Contents (Back)
Attention. Gaze.
See also Gaze Tracking, Gaze Determination.
See also Eye, Gaze Computer Interface, Applied Gaze Tracking.

PeyeMMV.,
2023
WWW Link. Code, Eye Fixation.
Elsevier DOI Python module called PeyeMMV. PeyeMMV implements the two-step spatial dispersion fixation detection algorithm imported in both EyeMMV and LandRate MATLAB toolboxes.

Srinivasan, M.V., Thathachar, M.A.L., Deekshatulu, B.L.,
A Probabilistic Hypothesis for the Prediction of Visual Fixations,
SMC(5), 1975, pp. 431-437. BibRef 7500

Belardinelli, A.[Anna], Pirri, F.[Fiora], Carbone, A.[Andrea],
Bottom-Up Gaze Shifts and Fixations Learning by Imitation,
SMC-B(37), No. 2, April 2007, pp. 256-271.
IEEE DOI 0704
BibRef

Marra, S.[Stefano], Pirri, F.[Fiora],
Eyes and Cameras Calibration for 3D World Gaze Detection,
CVS08(xx-yy).
Springer DOI 0805
BibRef

Pirri, F.[Fiora], Pizzoli, M.[Matia], Mancas, M.[Matei],
Human-Motion Saliency in Complex Scenes,
GW11(81-92).
Springer DOI 1211
BibRef

Pirri, F.[Fiora], Pizzoli, M.[Matia], Rigato, D.[Daniele], Shabani, R.[Redjan],
3D Saliency maps,
WBCV11(9-14).
IEEE DOI 1106
BibRef

Pirri, F.[Fiora], Pizzoli, M.[Matia], Rudi, A.[Alessandro],
A general method for the point of regard estimation in 3D space,
CVPR11(921-928).
IEEE DOI 1106
BibRef

Hennessey, C., Noureddin, B., Lawrence, P.D.,
Fixation Precision in High-Speed Noncontact Eye-Gaze Tracking,
SMC-B(37), No. 2, April 2007, pp. 289-298.
IEEE DOI 0803
BibRef

Veneri, G.[Giacomo], Piu, P.[Pietro], Rosini, F.[Francesca], Federighi, P.[Pamela], Federico, A.[Antonio], Rufa, A.[Alessandra],
Automatic eye fixations identification based on analysis of variance and covariance,
PRL(32), No. 13, 1 October 2011, pp. 1588-1593.
Elsevier DOI 1109
Eye tracking; Fixation identification; Analysis of variance; Motor control disorder BibRef

Xu, L.F.[Lin-Feng], Zeng, L.Y.[Liao-Yuan], Wang, Z.N.[Zheng-Ning],
Learning a Saliency Map for Fixation Prediction,
IEICE(E96-D), No. 10, October 2013, pp. 2294-2297.
WWW Link. 1310
BibRef

Sun, X.S.[Xiao-Shuai], Yao, H.X.[Hong-Xun], Ji, R.R.[Rong-Rong],
Visual attention modeling based on short-term environmental adaption,
JVCIR(24), No. 2, February 2013, pp. 171-180.
Elsevier DOI 1302
Visual attention modeling; Saliency detection; Short-term environmental adaption; Adaptive sparse representation; Independent component analysis; Adaptive saliency measurement; Conditional self information; Eye fixation prediction BibRef

Engelke, U., Liu, H., Wang, J., Le Callet, P., Heynderickx, I., Zepernick, H.J., Maeder, A.,
Comparative Study of Fixation Density Maps,
IP(22), No. 3, March 2013, pp. 1121-1133.
IEEE DOI 1302
BibRef

Rezazadegan Tavakoli, H.[Hamed], Rahtu, E.[Esa], Heikkilä, J.[Janne],
Stochastic bottom-up fixation prediction and saccade generation,
IVC(31), No. 9, 2013, pp. 686-693.
Elsevier DOI 1308
Saccadic eye movement BibRef

Liang, M.[Ming], Hu, X.L.[Xiao-Lin],
Predicting Eye Fixations With Higher-Level Visual Features,
IP(24), No. 3, March 2015, pp. 1178-1189.
IEEE DOI 1502
Computational modeling BibRef

Shi, T.L.[Tian-Lin], Liang, M.[Ming], Hu, X.L.[Xiao-Lin],
A Reverse Hierarchy Model for Predicting Eye Fixations,
CVPR14(2822-2829)
IEEE DOI 1409
BibRef

Zhang, L., Li, X., Nie, L., Yang, Y., Xia, Y.,
Weakly Supervised Human Fixations Prediction,
Cyber(46), No. 1, January 2016, pp. 258-269.
IEEE DOI 1601
Computational modeling BibRef

Wang, J., Borji, A., Kuo, C.C.J.[C. C. Jay], Itti, L.,
Learning a Combined Model of Visual Saliency for Fixation Prediction,
IP(25), No. 4, April 2016, pp. 1566-1579.
IEEE DOI 1604
image fusion BibRef

Feng, M., Borji, A., Lu, H.,
Fixation prediction with a combined model of bottom-up saliency and vanishing point,
WACV16(1-7)
IEEE DOI 1511
Computational modeling BibRef

Gide, M.S.[Milind S.], Karam, L.J.[Lina J.],
A Locally Weighted Fixation Density-Based Metric for Assessing the Quality of Visual Saliency Predictions,
IP(25), No. 8, August 2016, pp. 3852-3861.
IEEE DOI 1608
image processing BibRef

Fang, Y., Zhang, C., Li, J., Lei, J., Perreira da Silva, M., Le Callet, P.[Patrick],
Visual Attention Modeling for Stereoscopic Video: A Benchmark and Computational Model,
IP(26), No. 10, October 2017, pp. 4684-4696.
IEEE DOI 1708
discrete cosine transforms, feature extraction, image sequences, motion estimation, stereo image processing, computational model, depth motion features, eye fixation data, eye tracking database, planar motion features, spatial saliency computation, stereoscopic video saliency detection models, Computational modeling, Visualization, Visual attention. 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

Mahdi, A.[Ali], Qin, J.[Jun],
An extensive evaluation of deep features of convolutional neural networks for saliency prediction of human visual attention,
JVCIR(65), 2019, pp. 102662.
Elsevier DOI 1912
Convolutional neural networks, Feature maps, Human fixation prediction, Saliency map, Transfer learning BibRef

Lin, C.[Chuan], Zhang, Q.[Qing], Cao, Y.J.[Yi-Jun],
Multi-scale contour detection model based on fixational eye movement mechanism,
SIViP(14), No. 1, February 2020, pp. 57-65.
WWW Link. 2001
BibRef

Li, A.[Aoqi], Chen, Z.Z.[Zhen-Zhong],
Semantic meaning modulates object importance in human fixation prediction,
JVCIR(79), 2021, pp. 103206.
Elsevier DOI 2109
Visual attention, Image saliency, Semantic attributes, Object importance BibRef

Cheng, D.Q.[De-Qiang], Liu, R.H.[Rui-Hang], Li, J.H.[Jia-Han], Liang, S.[Song], Kou, Q.Q.[Qi-Qi], Zhao, K.[Kai],
Activity guided multi-scales collaboration based on scaled-CNN for saliency prediction,
IVC(114), 2021, pp. 104267.
Elsevier DOI 2109
Saliency prediction, Convolutional neural networks, Human eye fixations, Deep learning BibRef

Ding, G.Q.[Guan-Qun], Imamoglu, N.[Nevrez], Caglayan, A.[Ali], Murakawa, M.[Masahiro], Nakamura, R.[Ryosuke],
SalFBNet: Learning pseudo-saliency distribution via feedback convolutional networks,
IVC(120), 2022, pp. 104395.
Elsevier DOI 2204
Better learn distinguishable eye-fixation-based features. Feedback networks, Human gaze, Pseudo-saliency, Selective fixation and non-fixation error BibRef

Xu, B.W.[Bin-Wei], Liang, H.R.[Hao-Ran], Liang, R.H.[Rong-Hua], Chen, P.[Peng],
CFN: A coarse-to-fine network for eye fixation prediction,
IET-IPR(16), No. 9, 2022, pp. 2373-2383.
DOI Link 2206
BibRef

Tang, X.[Xing], Yu, J.[Jie], Su, Y.[Yan],
Modeling Driver's Visual Fixation Behavior Using White-Box Representations,
ITS(23), No. 9, September 2022, pp. 15434-15449.
IEEE DOI 2209
Visualization, Task analysis, Vehicles, Training, Roads, Computational modeling, Adaptation models, Human-like, BDDA BibRef

Lobão-Neto, R.[Ruivaldo], Brilhault, A.[Adrien], Neuenschwander, S.[Sergio], Rios, R.[Ricardo],
Real-time identification of eye fixations and saccades using radial basis function networks and Markov chains,
PRL(162), 2022, pp. 63-70.
Elsevier DOI 2210
Eye-tracking, Fixations and saccades identification, Radial basis function networks, Markov chains, Concept drift BibRef

Liang, S.[Song], Liu, R.H.[Rui-Hang], Qian, J.S.[Jian-Sheng],
Fast saliency prediction based on multi-channels activation optimization,
JVCIR(94), 2023, pp. 103831.
Elsevier DOI 2306
Saliency prediction, Convolutional neural networks, Human eye fixations, Deep learning BibRef

Wen, S.J.[Shi-Jie], Yang, L.[Li], Xu, M.[Mai], Qiao, M.L.[Ming-Lang], Xu, T.[Tao], Bai, L.[Lin],
Saliency Prediction on Mobile Videos: A Fixation Mapping-Based Dataset and A Transformer Approach,
CirSysVideo(34), No. 7, July 2024, pp. 5935-5950.
IEEE DOI Code:
WWW Link. 2407
Videos, Mobile video, Task analysis, Gaze tracking, Visualization, Transformers, Social networking (online), Mobile video, wearable eye-tracker BibRef


Deng, B.[Bowen], Song, S.Y.[Si-Yang], French, A.P.[Andrew P.], Schluppeck, D.[Denis], Pound, M.P.[Michael P.],
Advancing Saliency Ranking with Human Fixations: Dataset, Models and Benchmarks,
CVPR24(28348-28357)
IEEE DOI Code:
WWW Link. 2410
Visualization, Detectors, Gaze tracking, Computer architecture, Transformers, Feature extraction, saliency, saliency detection, Graph Neural Networks BibRef

Paula, B.[Beatriz], Moreno, P.[Plinio],
Learning to Search for and Detect Objects in Foveal Images Using Deep Learning,
IbPRIA23(223-237).
Springer DOI 2307
Evaluate fixation points. BibRef

Kadner, F.[Florian], Thomas, T.[Tobias], Hoppe, D.[David], Rothkopf, C.A.[Constantin A.],
Improving saliency models' predictions of the next fixation with humans' intrinsic cost of gaze shifts,
WACV23(2103-2113)
IEEE DOI 2302
Costs, Heuristic algorithms, Computational modeling, Decision making, Predictive models, Benchmark testing, Applications: Psychology and cognitive science BibRef

Velusamy, S.[Sudha], Radarapu, R.[Rakesh], Hegde, A.[Anandavardhan], Kothari, N.[Narayan],
A Light-Weight Human Eye Fixation Solution for Smartphone Applications,
WiCV23(5675-5680)
IEEE DOI 2309
BibRef

Wloka, C., Kotseruba, I., Tsotsos, J.K.,
Active Fixation Control to Predict Saccade Sequences,
CVPR18(3184-3193)
IEEE DOI 1812
Visualization, Computational modeling, Retina, Predictive models, Streaming media BibRef

Li, B., Liu, Q., Shi, X., Yang, Y.,
Graph-Based Saliency Fusion with Superpixel-Level Belief Propagation for 3D Fixation Prediction,
ICIP18(2321-2325)
IEEE DOI 1809
Databases, Solid modeling, Predictive models, Stereo image processing, global optimization BibRef

Tavakoli, H.R., Ahmed, F., Borji, A., Laaksonen, J.,
Saliency Revisited: Analysis of Mouse Movements Versus Fixations,
CVPR17(6354-6362)
IEEE DOI 1711
Analytical models, Context modeling, Databases, Gaze tracking, Measurement, Mice, Visualization BibRef

Liu, Q., Yang, Y., Li, P., Li, B.,
A robust 3D visual saliency computation model for human fixation prediction of stereoscopic videos,
VCIP17(1-4)
IEEE DOI 1804
feature extraction, image colour analysis, image fusion, image motion analysis, image resolution, image texture, Saliency Computational Model BibRef

Kümmerer, M., Wallis, T.S.A., Gatys, L.A., Bethge, M.,
Understanding Low- and High-Level Contributions to Fixation Prediction,
ICCV17(4799-4808)
IEEE DOI 1802
feature extraction, image classification, neural nets, object detection, object recognition, Predictive models BibRef

Wang, J., Tavakoli, H.R.[Hamed R.], Laaksonen, J.[Jorma],
Fixation Prediction in Videos Using Unsupervised Hierarchical Features,
DeepLearn-T17(2225-2232)
IEEE DOI 1709
BibRef
Earlier: A2, A3, Only:
Bottom-Up Fixation Prediction Using Unsupervised Hierarchical Models,
Assist16(I: 287-302).
Springer DOI 1704
Computational modeling, Estimation, Feature extraction, Predictive models, Training, Videos, Visualization BibRef

Rahman, I.M.H., Hollitt, C., Zhang, M.,
A dynamic feature map integration approach for predicting human fixation,
ICVNZ16(1-6)
IEEE DOI 1701
Computational modeling BibRef

Anantrasirichai, N., Gilchrist, I.D., Bull, D.R.,
Fixation identification for low-sample-rate mobile eye trackers,
ICIP16(3126-3130)
IEEE DOI 1610
Feature extraction BibRef

Min, X., Zhai, G., Hu, C., Gu, K.,
Fixation prediction through multimodal analysis,
VCIP15(1-4)
IEEE DOI 1605
Computational modeling 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

Sattar, H.[Hosnieh], Muller, S.[Sabine], Fritz, M.[Mario], Bulling, A.[Andreas],
Prediction of search targets from fixations in open-world settings,
CVPR15(981-990)
IEEE DOI 1510
BibRef

Zhao, J.P.[Jia-Ping], Siagian, C.[Christian], Itti, L.[Laurent],
Fixation bank: Learning to reweight fixation candidates,
CVPR15(3174-3182)
IEEE DOI 1510
BibRef

Ma, B., Zhou, J., Gu, X., Wang, M., Zhang, Y., Guo, X.,
A new approach to create 3D fixation density maps for stereoscopic images,
3DTV-CON15(1-4)
IEEE DOI 1508
Accuracy 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

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

Schauerte, B.[Boris], Stiefelhagen, R.[Rainer],
Quaternion-Based Spectral Saliency Detection for Eye Fixation Prediction,
ECCV12(II: 116-129).
Springer DOI 1210
BibRef

Judd, T.[Tilke], Durand, F.[Frédo], Torralba, A.B.[Antonio B.],
A Benchmark of Computational Models of Saliency to Predict Human Fixations,
CSAIL(TR-2012-001). 2012-01-13.
WWW Link. 1202
BibRef

Sun, X.S.[Xiao-Shuai], Yao, H.X.[Hong-Xun], Ji, R.R.[Rong-Rong], Xu, P.F.[Peng-Fei], Liu, X.M.[Xian-Ming], Liu, S.H.[Shao-Hui],
Visual saliency as sequential eye fixation probability,
ICIP10(1093-1096).
IEEE DOI 1009
BibRef

Tagawa, N.[Norio],
Depth Perception Model Based on Fixational Eye Movements Using Bayesian Statistical Inference,
ICPR10(1662-1665).
IEEE DOI 1008
BibRef

Larson, E.C.[Eric C.], Vu, C.[Cuong], Chandler, D.M.[Damon M.],
Can visual fixation patterns improve image fidelity assessment?,
ICIP08(2572-2575).
IEEE DOI 0810
BibRef

Raj, R.G.[Raghu G.], Bovik, A.C.[Alan C.], Cormack, L.K.[Lawrence K.],
Fixation selection by maximization of texure and contrast information,
ICIP08(697-700).
IEEE DOI 0810
BibRef

Vu, C.T., Larson, E.C., Chandler, D.M.,
Visual Fixation Patterns when Judging Image Quality: Effects of Distortion Type, Amount, and Subject Experience,
Southwest08(73-76).
IEEE DOI 0803
BibRef

Raj, R.G., Geisler, W.S., Frazor, R.A., Bovik, A.C.,
Natural Contrast Statistics and the Selection of Visual Fixations,
ICIP05(III: 1152-1155).
IEEE DOI 0512
BibRef

Abbott, A.L., Zheng, B.,
Active Fixation Using Attentional Shifts, Affine Resampling, and Multiresolution Search,
ICCV95(1002-1008).
IEEE DOI BibRef 9500

Ratan, A.L.[Aparna Lakshmi],
The Role of Fixation and Visual Attention in Object Recognition,
MIT AI-TR-1529, July 1995.
WWW Link. BibRef 9507

Chapter on Active Vision, Camera Calibration, Mobile Robots, Navigation, Road Following continues in
Human Attention, Gaze, Eye Tracking .


Last update:Jan 20, 2025 at 11:36:25