22.3.2.1 Face Pose, Head Pose from Stereo, Multi-View, Depth, or Range Data

Chapter Contents (Back)
Pose, Head. Face Pose. Head Pose.
See also Head Gesture, Face Gestures, Nods, etc..
See also Face Pose, Head Pose.

Russakoff, D.B.[Daniel B.], Herman, M.[Martin],
Head tracking using stereo,
MVA(13), No. 3, 2002, pp. 164-173.
Springer DOI 0208
BibRef WACV00(254-260).
IEEE DOI 0010
Use stereo (from Digiclops system). Find shoulders as the key, find head. BibRef

Li, S.Z., Zhang, Z.Q.[Zhen-Qiu],
FloatBoost Learning and Statistical Face Detection,
PAMI(26), No. 9, September 2004, pp. 1112-1123.
IEEE Abstract. 0409
Use backtracking after each stage of AdaBoost to minimize error rate. Improves AdaBoost, fewer classifiers, fewer errors. BibRef

Zhang, Z.Q.[Zhen-Qiu], Zhu, L.[Long], Li, S.Z., Zhang, H.J.[Hong-Jiang],
Real-time multi-view face detection,
AFGR02(142-147).
IEEE DOI 0206
BibRef

Zhang, Z.Q.[Zhen-Qiu], Li, M.J.[Ming-Jing], Li, S.Z.[Stan Z.], Zhang, H.J.[Hong-Jiang],
Multi-view face detection with FloatBoost,
WACV02(184-188).
IEEE DOI 0303
BibRef

Gu, L., Li, S.Z., Zhang, H.J.,
Learning Probabilistic Distribution Model for Multi-View Face Detection,
CVPR01(II:116-122).
IEEE DOI 0110
BibRef

Li, S.Z., Zhu, L., Zhang, Z., Blake, A., Zhang, H., Shum, H.Y.,
Statistical Learning of Multi-view Face Detection,
ECCV02(IV: 67 ff.).
Springer DOI 0205
BibRef

Li, S.Z.[Stan Z.], Fu, Q.D.[Qing-Dong], Gu, L.[Lie], Scholkopf, B.[Bernhard], Cheng, Y.M.[Yi-Min], Zhang, H.J.[Hong-Jiang],
Kernel Machine Based Learning for Multi-View Face Detection and Pose Estimation,
ICCV01(II: 674-679).
IEEE DOI 0106
BibRef

Li, S.Z., Lu, X.G.[Xiao-Guang], Hou, X.W.[Xin-Wen], Peng, X.H.[Xian-Hua], Cheng, Q.S.[Qian-Sheng],
Learning Multiview Face Subspaces and Facial Pose Estimation Using Independent Component Analysis,
IP(14), No. 6, June 2005, pp. 705-712.
IEEE DOI 0505
BibRef

Li, S.Z., Peng, X.H.[Xian-Huan], Hou, X.W.[Xin-Wen], Zhang, H.J.[Hong-Jiang], Cheng, Q.S.[Qian-Sheng],
Multi-view face pose estimation based on supervised ISA learning,
AFGR02(100-105).
IEEE DOI 0206
BibRef

Malassiotis, S.[Sotiris], Strintzis, M.G.[Michael G.],
Robust real-time 3D head pose estimation from range data,
PR(38), No. 8, August 2005, pp. 1153-1165.
Elsevier DOI 0505
BibRef
Earlier:
Real-time head tracking and 3d pose estimation from range data,
ICIP03(II: 859-862).
IEEE DOI 0312

See also Real-time hand posture recognition using range data. BibRef

Malassiotis, S.[Sotiris], Strintzis, M.G.[Michael G.],
Robust face recognition using 2D and 3D data: Pose and illumination compensation,
PR(38), No. 12, December 2005, pp. 2537-2548.
Elsevier DOI 0510
BibRef
Earlier:
Pose and illumination compensation for 3D face recognition,
ICIP04(I: 91-94).
IEEE DOI 0505
BibRef

Rajwade, A.[Ajit], Levine, M.D.[Martin D.],
Facial pose from 3D data,
IVC(24), No. 8, August 2006, pp. 849-856.
Elsevier DOI 0608
3D Pose estimation; Range data; Discrete wavelet transform; Support vector regression; Dimensionality reduction; Principal components analysis BibRef

Levine, M.D.[Martin D.], Rajwade, A.[Ajit],
Three-dimensional view-invariant face recognition using a hierarchical pose-normalization strategy,
MVA(17), No. 5, October 2006, pp. 309-325.
Springer DOI 0609
BibRef

Chen, J.C.[Ju-Chin], Lien, J.J.J.[Jenn-Jier James],
A view-based statistical system for multi-view face detection and pose estimation,
IVC(27), No. 9, 3 August 2009, pp. 1252-1271.
Elsevier DOI 0906
Face detection; Pose estimation
See also Facial expression recognition system based on rigid and non-rigid motion separation and 3D pose estimation. BibRef

Chen, Z.W.[Zhih-Wei], Chiang, C.C.[Cheng-Chin], Hsieh, Z.T.[Zi-Tian],
Extending 3D Lucas-Kanade tracking with adaptive templates for head pose estimation,
MVA(21), No. 6, October 2010, pp. 889-903.
WWW Link. 1011

See also Iterative Image Registration Technique with an Application to Stereo Vision, An. BibRef

Gurbuz, S.[Sabri], Oztop, E.[Erhan], Inoue, N.[Naomi],
Model free head pose estimation using stereovision,
PR(45), No. 1, January 2012, pp. 33-42.
Elsevier DOI 1109
Head pose estimation; Face plane estimation; Human-machine interface; 3D face reconstruction BibRef

Muñoz-Salinas, R.[Rafael], Yeguas-Bolivar, E.[Enrique], Saffiotti, A., Medina-Carnicer, R.,
Multi-camera head pose estimation,
MVA(23), No. 3, May 2012, pp. 479-490.
WWW Link. 1204

See also Depth silhouettes for gesture recognition. BibRef

Muñoz-Salinas, R.[Rafael], Marín-Jimenez, M.J.[Manuel J.], Yeguas-Bolivar, E.[Enrique], Medina-Carnicer, R.,
Mapping and localization from planar markers,
PR(73), No. 1, 2018, pp. 158-171.
Elsevier DOI 1709
Fiducial markers BibRef

Anvar, S.M.H.[Seyed Mohammad Hassan], Yau, W.Y.[Wei-Yun], Teoh, E.K.[Eam Khwang],
Multiview Face Detection and Registration Requiring Minimal Manual Intervention,
PAMI(35), No. 10, 2013, pp. 2484-2497.
IEEE DOI 1309
Not really pose. Detect and localize the face before recognition. Combine based on registrations. BibRef

Ying, Y.[Ying], Wang, H.[Han],
Dynamic random regression forests for real-time head pose estimation,
MVA(24), No. 8, November 2013, pp. 1705-1719.
WWW Link. 1310
BibRef

Ying, Y.[Ying], Wang, H.[Han], Xu, J.[Jian],
An automatic system for multi-view face detection and pose estimation,
ICARCV10(1101-1108).
IEEE DOI 1109
BibRef

Rajagopal, A.K.[Anoop Kolar], Subramanian, R.[Ramanathan], Ricci, E.[Elisa], Vieriu, R.L.[Radu L.], Lanz, O.[Oswald], Kalpathi, R.R.[R. Ramakrishnan], Sebe, N.[Nicu],
Exploring Transfer Learning Approaches for Head Pose Classification from Multi-view Surveillance Images,
IJCV(109), No. 1-2, August 2014, pp. 146-167.
WWW Link. 1407
BibRef

Yan, Y.[Yan], Subramanian, R.[Ramanathan], Ricci, E.[Elisa], Lanz, O.[Oswald], Sebe, N.[Nicu],
Evaluating Multi-task Learning for Multi-view Head-Pose Classification in Interactive Environments,
ICPR14(4182-4187)
IEEE DOI 1412
Accuracy;Cameras;Face;Skin;Support vector machines;Training BibRef

Yan, Y.[Yan], Subramanian, R.[Ramanathan], Lanz, O.[Oswald], Sebe, N.[Nicu],
Active transfer learning for multi-view head-pose classification,
ICPR12(1168-1171).
WWW Link. 1302
BibRef

Rajagopal, A.K.[Anoop K.], Subramanian, R.[Ramanathan], Vieriu, R.L.[Radu L.], Ricci, E.[Elisa], Lanz, O.[Oswald],
An Adaptation Framework for Head-Pose Classification in Dynamic Multi-view Scenarios,
ACCV12(II:652-666).
Springer DOI 1304
BibRef

Tang, Y.Q.[Yun-Qi], Sun, Z.A.[Zhen-An], Tan, T.N.[Tie-Niu],
Slice representation of range data for head pose estimation,
CVIU(128), No. 1, 2014, pp. 18-35.
Elsevier DOI 1410
Head pose estimation BibRef

Brazey, D., Portier, B.,
A New Spherical Mixture Model for Head Detection in Depth Images,
SIIMS(7), No. 4, 2014, pp. 2423-2447.
DOI Link 1412
BibRef

Kaymak, S.[Sertan], Patras, I.[Ioannis],
Multimodal random forest based tensor regression,
IET-CV(8), No. 6, 2014, pp. 650-657.
DOI Link 1502
BibRef
Earlier:
Exploiting Depth and Intensity Information for Head Pose Estimation with Random Forests and Tensor Models,
CDF12(II:160-170).
Springer DOI 1304
image fusion BibRef

Papazov, C.[Chavdar], Marks, T.K.[Tim K.], Jones, M.[Michael],
Real-time 3D head pose and facial landmark estimation from depth images using triangular surface patch features,
CVPR15(4722-4730)
IEEE DOI 1510
BibRef

Orozco, J.[Javier], Rudovic, O.[Ognjen], Gonzàlez, J.[Jordi], Pantic, M.[Maja],
Hierarchical On-line Appearance-Based Tracking for 3D head pose, eyebrows, lips, eyelids and irises,
IVC(31), No. 4, April 2013, pp. 322-340.
Elsevier DOI 1304
BibRef
And: Corrigendum: IVC(32), No. 1, 2014, pp. 86-.
Elsevier DOI 1402
On-line appearance models; Levenberg-Marquardt algorithm; Line-search optimization; 3D face tracking; Facial action tracking; Eyelid tracking; Iris tracking BibRef

Rudovic, O.[Ognjen], Patras, I.Y.[Ioannis Yiannis], Pantic, M.[Maja],
Facial Expression Invariant Head Pose Normalization Using Gaussian Process Regression,
CVPR4HB10(28-33).
IEEE DOI 1006
BibRef

Rudovic, O.[Ognjen], Pantic, M.[Maja],
Shape-Constrained Gaussian Process Regression for Facial-Point-Based Head-Pose Normalization,
ICCV11(1495-1502).
IEEE DOI 1201
BibRef

Jiang, F.J.[Fei-Jun], Fischer, M.[Mika], Ekenel, H.K.[Hazim Kemal], Shi, B.E.[Bertram E.],
Combining texture and stereo disparity cues for real-time face detection,
SP:IC(28), No. 9, 2013, pp. 1100-1113.
Elsevier DOI 1310
BibRef
Earlier: A1, A4, A2, A3:
Effective discretization of Gabor features for real-time face detection,
ICIP11(2057-2060).
IEEE DOI 1201
Multi-view face detection BibRef

Jiang, F.J.[Fei-Jun], Ekenel, H.K.[Hazim Kemal], Shi, B.E.[Bertram E.],
Efficient and robust integration of face detection and head pose estimation,
ICPR12(1578-1581).
WWW Link. 1302
BibRef

Takallou, H.M., Kasaei, S.,
Head pose estimation and face recognition using a non-linear tensor-based model,
IET-CV(8), No. 1, February 2014, pp. 54-65.
DOI Link 1404
face recognition BibRef

Takallou, H.M., Kasaei, S.,
Multiview face recognition based on multilinear decomposition and pose manifold,
IET-IPR(8), No. 5, May 2014, pp. 300-309.
DOI Link 1407
BibRef

Ariz, M.[Mikel], Villanueva, A.[Arantxa], Cabeza, R.[Rafael],
Robust and accurate 2D-tracking-based 3D positioning method: Application to head pose estimation,
CVIU(180), 2019, pp. 13-22.
Elsevier DOI 1903
Pose estimation, Head tracking, Facial point detection and tracking, Outlier correction, POSIT BibRef

Sheng, L.[Lu], Cai, J.F.[Jian-Fei], Cham, T.J.[Tat-Jen], Pavlovic, V.[Vladimir], Ngan, K.N.[King Ngi],
Visibility Constrained Generative Model for Depth-Based 3D Facial Pose Tracking,
PAMI(41), No. 8, August 2019, pp. 1994-2007.
IEEE DOI 1907
BibRef
Earlier:
A Generative Model for Depth-Based Robust 3D Facial Pose Tracking,
CVPR17(4598-4607)
IEEE DOI 1711
Face, Solid modeling, Adaptation models, Shape, Switches, Pose estimation, mixture of Gaussian models. Probabilistic logic, Robustness, Solid modeling. BibRef

Luo, C., Zhang, J., Yu, J., Chen, C.W., Wang, S.,
Real-Time Head Pose Estimation and Face Modeling From a Depth Image,
MultMed(21), No. 10, October 2019, pp. 2473-2481.
IEEE DOI 1910
face recognition, iterative methods, pose estimation, regression analysis, face modeling system, deformable face model, face modeling BibRef

Xu, Y.Q.[Yuan-Quan], Jung, C.[Cheolkon], Chang, Y.K.[Ya-Kun],
Head pose estimation using deep neural networks and 3D point clouds,
PR(121), 2022, pp. 108210.
Elsevier DOI 2109
Head pose estimation, Deep learning, Graph convolution, Multi-layer perceptron, Point cloud BibRef

Chen, J.Z.[Jia-Zhong], Li, Q.Q.[Qing-Qing], Ren, D.[Dakai], Cao, H.[Hua], Ling, H.[Hefei],
Asymmetry-aware bilinear pooling in multi-modal data for head pose estimation,
SP:IC(110), 2023, pp. 116895.
Elsevier DOI 2212
Head pose estimation, Asymmetry-aware, Bilinear pooling BibRef


Park, J., Heo, S., Lee, K., Song, H., Lee, S.,
Robust Facial Pose Estimation Using Landmark Selection Method for Binocular Stereo Vision,
ICIP18(186-190)
IEEE DOI 1809
Pose estimation, Shape, Cameras, Robustness, Solid modeling, Stereo matching algorithm BibRef

Chen, S.Y.[Si-Yuan], Bremond, F., Nguyen, H.[Hung], Thomas, H.,
Exploring depth information for head detection with depth images,
AVSS16(228-234)
IEEE DOI 1611
Cameras; Detectors; Face; Face recognition; Feature extraction; Shape BibRef

Saeed, A.[Anwar], Al-Hamadi, A.[Ayoub],
Boosted human head pose estimation using kinect camera,
ICIP15(1752-1756)
IEEE DOI 1512
Head pose; Histogram of Oriented Gradient; Support Vector Machine BibRef

Gorbatsevich, V., Vizilter, Y., Knyaz, V., Zheltov, S.,
Face Pose Recognition Based on Monocular Digital Imagery and Stereo-Based Estimation of its Precision,
CloseRange14(257-263).
DOI Link 1411
BibRef

Gómez-Fernández, F.[Francisco], Liu, Z.C.[Zi-Cheng], Pardo, A.[Alvaro], Mejail, M.[Marta],
Automatic Camera-Screen Localization,
CIARP14(588-595).
Springer DOI 1411
Location of TV screen relative to camera. Uses head pose. RGB-D. BibRef

Hoffken, M., Wang, T.Y.[Tian-Yi], Wiest, J., Kressel, U., Dietmayer, K.,
Synchronized Submanifold Embedding for Robust and Real-Time Capable Head Pose Detection Based on Range Images,
3DV13(167-174)
IEEE DOI 1311
human computer interaction BibRef

Yang, F.[Fei], Huang, J.Z.[Jun-Zhou], Yu, X.[Xiang], Cui, X.[Xinyi], Metaxas, D.N.[Dimitris N.],
Robust face tracking with a consumer depth camera,
ICIP12(561-564).
IEEE DOI 1302
BibRef

Layher, G.[Georg], Liebau, H.[Hendrik], Niese, R.[Robert], Al-Hamadi, A.[Ayoub], Michaelis, B.[Bernd], Neumann, H.[Heiko],
Robust Stereoscopic Head Pose Estimation in Human-Computer Interaction and a Unified Evaluation Framework,
CIAP11(I: 227-236).
Springer DOI 1109

See also Towards completely rotated Simplified Gabor Wavelets for fast facial feature point detection. BibRef

Niese, R.[Robert], Al-Hamadi, A.[Ayoub], Michaelis, B.[Bernd],
A Stereo and Color-based Method for Face Pose Estimation and Facial Feature Extraction,
ICPR06(I: 299-302).
IEEE DOI 0609
BibRef

Siddiqui, M.[Matheen], Medioni, G.[Gerard],
Human pose estimation from a single view point, real-time range sensor,
CVCGI10(1-8).
IEEE DOI 1006
BibRef

Breitenstein, M.D., Jensen, J., Høilund, C., Moeslund, T.B., Van Gool, L.J.,
Head Pose Estimation from Passive Stereo Images,
SCIA09(219-228).
Springer DOI 0906
BibRef

An, K.H.[Kwang Ho], Chung, M.J.[Myung Jin],
Unified Stereo-based 3d Head Tracking Using Online Illumination Modeling,
BMVC09(xx-yy).
PDF File. 0909
BibRef

Steffens, M.[Markus], Aufderheide, D.[Dominik], Kieneke, S.[Stephan], Krybus, W.[Werner], Kohring, C.[Christine], Morton, D.[Danny],
Probabilistic Scene Analysis for Robust Stereo Correspondence,
ICIAR09(697-706).
Springer DOI 0907
BibRef
And: A1, A3, A2, A4, A5, A6:
Stereo Tracking of Faces for Driver Observation,
SCIA09(249-258).
Springer DOI 0906
BibRef

Steffens, M.[Markus], Krybus, W.[Werner], Kohring, C.[Christine], Morton, D.[Danny],
Spatio-Temporal Tracking of Faces by Stereo Vision,
MIRAGE09(242-253).
Springer DOI 0905
BibRef

Kieneke, S.[Stephan], Steffens, M.[Markus], Aufderheide, D.[Dominik], Krybus, W.[Werner], Kohring, C.[Christine], Morton, D.[Danny],
Spatio-Temporal Scene Analysis Based on Graph Algorithms to Determine Rigid and Articulated Objects,
MIRAGE09(254-264).
Springer DOI 0905
BibRef

Fanelli, G.[Gabriele], Weise, T.[Thibaut], Gall, J.[Juergen], Van Gool, L.J.[Luc J.],
Real Time Head Pose Estimation from Consumer Depth Cameras,
DAGM11(101-110).
Springer DOI 1109

See also Real Time Head Pose Estimation with Random Regression Forests. BibRef

Breitenstein, M.D.[Michael D.], Kuettel, D.[Daniel], Weise, T.[Thibaut], Van Gool, L.J.[Luc J.], Pfister, H.[Hanspeter],
Real-Time Face Pose Estimation from Single Range Images,
CVPR08(1-8).
IEEE DOI 0806
BibRef

Wei, X.Z.[Xiao-Zhou], Longo, P.[Peter], Yin, L.J.[Li-Jun],
Automatic Facial Pose Determination of 3D Range Data for Face Model and Expression Identification,
ICB07(144-153).
Springer DOI 0708

See also Analyzing Facial Expressions Using Intensity-Variant 3D Data For Human Computer Interaction. BibRef

Wang, J.G.[Jian-Gang], Lim, E.T.[Eng Thiam], Venkateswarlu, R.,
Stereo head/face detection and tracking,
ICIP04(I: 605-608).
IEEE DOI 0505
BibRef

Morency, L.P.[Louis-Philippe],
Context-based Visual Feedback Recognition,
CSAIL-2006-075, November 2006.
WWW Link. BibRef 0611

Morency, L.P.[Louis-Philippe],
Stereo-Based Head Pose Tracking Using Iterative Closest Point and Normal Flow Constraint,
MIT AI-TR-2003-006, May 2003.
WWW Link. 0306
ICP. Our system can automatically segment and track a user's head under large rotation and illumination variations. Precision and usability of this approach are compared with previous tracking methods for cursor control and target selection in both desktop and interactive room environments. The second tracking technique is designed to improve the robustness of head pose tracking for fast movements. Our iterative hybrid tracker combines constraints from the ICP (Iterative Closest Point) algorithm and normal flow constraint. This new technique is more precise for small movements and noisy depth than ICP alone, and more robust for large movements than the normal flow constraint alone.
See also Exploring Vision-Based Interfaces: How to Use Your Head in Dual Pointing Tasks. BibRef

Morency, L.P., Rahimi, A., Checka, N., Darrell, T.J.,
Fast stereo-based head tracking for interactive environments,
AFGR02(375-380).
IEEE DOI 0206
BibRef

Morency, L.P., Rahimi, A., Darrell, T.J.,
Fast 3D model acquisition from stereo images,
3DPVT02(172-176).
IEEE DOI 0206
BibRef

Mang, H.[Hui], Xu, G.Y.[Guang-You], Wu, Q.[Qing], Wang, Q.A.[Qi-Ang],
Robust pose estimation for 3D face modeling from stereo sequences,
ICIP02(III: 333-336).
IEEE DOI 0210
BibRef

Yang, R.G.[Rui-Gang], Zhang, Z.Y.[Zheng-You],
Model-based head pose tracking with stereovision,
AFGR02(242-247).
IEEE DOI 0206
BibRef

Huang, Y.[Yu], Huang, T.,
Facial tracking with head pose estimation in stereo vision,
ICIP02(III: 833-836).
IEEE DOI 0210
BibRef

Moreno, F., Tarrida, A., Andrade-Cetto, J., Sanfelin, A.,
3d real-time head tracking fusing color histograms and stereovision,
ICPR02(I: 368-371).
IEEE DOI 0211
BibRef

Xu, M.[Ming], Akatsuka, T.,
Detecting Head Pose from Stereo Image Sequence for Active Face Recognition,
AFGR98(82-87).
IEEE DOI BibRef 9800

Hattori, K.[Kazuyuki], Matsumori, S.[Shinichi], Sato, Y.[Yukio],
Estimating Pose of Human Face Based on Symmetry Plane Using Range and Intensity Images,
ICPR98(Vol II: 1183-1187).
IEEE DOI 9808
BibRef

Chapter on Face Recognition, Detection, Tracking, Gesture Recognition, Fingerprints, Biometrics continues in
Eye Tracking, Pupil Tracking .


Last update:Mar 16, 2024 at 20:36:19