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Erschienen in:
A Control Strategy for a Lower Limb Exoskeleton with a Toe Joint Kapitel lesen Erstes Kapitel lesen

2016 | OriginalPaper | Buchkapitel

An Analysis of Visual Faces Datasets

verfasst von : Ivan Gruber, Miroslav Hlaváč, Marek Hrúz, Miloš Železný, Alexey Karpov

Erschienen in: Interactive Collaborative Robotics

Verlag: Springer International Publishing

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Abstract

This paper presents an analysis of datasets of images of human faces with annotated facial keypoints, which are important in human-machine interaction, and their comparison. Datasets are divided according to external conditions of the subject into two groups: datasets in laboratory conditions and in the wild data. Moreover, a quick review of the state-of-the-art methods for keypoints detection is provided. Existing methods are categorized into the following three groups according to the approach to the solution of the problem: top-down, bottom-up and their combination.

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Vorheriges Kapitel A Recovery Method for the Robotic Decentralized Control System with Performance Redundancy
Nächstes Kapitel Attention Training Game with Aldebaran Robotics NAO and Brain-Computer Interface
Literatur
1.
Milborrow, S., Morkel, J., Nicolls, F.: The MUCT landmarked face database. Pattern Recogn. Assoc. S. Afr. 201(0), 179–184 (2010)
2.
Viola, P., Jones, M.: Robust real-time face detection. Int. J. Comput. Vis. 57(2), 137–157 (2004)CrossRef
3.
Cootes, T.F., Taylor, C.J.: Statistical models of appearance for computer vision. In: Imaging Science and Biomedical Engineering, University of Manchester, pp. 149–163 (2004)
4.
Antonakos, E., Alabort-i-Medina, J., Zaferiou, S.: Active pictorial structures. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston, pp. 5435–5444 (2015)
5.
Yu, X., Huang, J., Zhang, S.: Pose-free facial landmark fitting via optimized part mixtures and cascaded deformable shape model. In: IEEE International Conference on Computer Vision, Sydney, pp. 1944–1951 (2013)
6.
Burgos-Artizzu, X.P., Perona, P., Dollár, P.: Robust face landmark estimation under occlusion. In: IEEE International Conference on Computer Vision, Sydney, pp. 1513–1520 (2013)
7.
Asthana, A., Zaferiou, S., Cheng, S.: Incremental face alignment in the wild. In: IEEE Conference on Computer Vision and Pattern Recognition, Columbus, pp. 3659–3667 (2014)
8.
Tzimiropoulos, G.: Project-out cascaded regression with an application to face alignment. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston, pp. 3659–3667. IEEE (2015)
9.
Zhang, J., Kan, M., Shan, S., Chen, X.: Leveraging datasets with varying annotations for face alignment via deep regression network. In: Proceedings of IEEE International Conference on Computer Vision (ICCV), pp. 3801–3809 (2015)
10.
Zhang, Z., Luo, P., Loy, C.C., Tang, X.: Facial landmark detection by deep multi-task learning. In: Proceedings of European Conference on Computer Vision (ECCV), pp. 94–108 (2014)
11.
Kazemi, V., Sullivan, J.: One millisecond face alignment with an ensemble of regression trees. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1867–1874 (2014)
12.
Yu, X., Lin, Z., Brandt, J., Metaxas, D.N.: Consensus of regression for occlusion-robust facial feature localization. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014, Part IV. LNCS, vol. 8692, pp. 105–118. Springer, Heidelberg (2014)
13.
Ghiasi, G., Fowlkes, C.: Using segmentation to predict the absence of occluded parts. In: Proceeding of British Machine Vision Conference (BMVC) (2015)
14.
Ren, S., Cao, X., Wei, Y., Sun, J.: Face alignment via regressing local binary features. Proc. IEEE Trans. Image Process. 25(3), 1233–1245 (2016)CrossRefMathSciNet
15.
Belhumeur, P.N., Jacobs, D.W., Kriegman, D.J., Kumar, N.: Localizing parts of faces using a consensus of exemplars. In: Proceedings of 24th IEEE Conference on Computer Vision and Pattern Recognition, vol. 35, no. 12, pp. 2930–2940 (2011)
16.
Jesorsky, O., Kirchberg, K.J., Frischholz, R.W.: Robust face detection using the hausdorff distance. In: Bigun, J., Smeraldi, F. (eds.) AVBPA 2001. LNCS, vol. 2091, pp. 90–95. Springer, Heidelberg (2001)CrossRef
17.
Le, V., Brandt, J., Lin, Z., Bourdev, L., Huang, T.S.: Interactive facial feature localization. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) Computer Vision – ECCV 2012. LNCS, vol. 7574, pp. 679–692. Springer, Heidelberg (2012)CrossRef
18.
Zhu, X., Ramanan, D.: Face detection, pose estimation and landmark localization in the wild. In: Computer Vision and Pattern Recognition (CVPR) Providence, Rhode Island (2012)
19.
Koestinger, M., Wohlhart, P., Roth, P.M., Bischof, H.: Annotated facial landmarks in the wild: a large-scale, real-world database for facial landmark localization. In: First IEEE International Workshop on Benchmarking Facial Image Analysis Technologies, Barcelona, pp. 2144–2151 (2011)
20.
Burgos-Artizzu, X.P., Perona, P., Dollár, P.: Robust face landmark estimation under occlusion. In: ICCV 2013, Sydney, Australia (2013)
21.
Sagonas, C., Tzimiropoulos, G., Zafeiriou, S., Pantic, M.: 300 faces in-the-wild challenge: the first facial landmark localization challenge. In: Proceedings of IEEE International Conference on Computer Vision (ICCV-W 2013), 300 Faces in-the-Wild Challenge (300-W), Sydney, Australia, pp. 397–403 (2013)
22.
Hasan, K., Moalem, M., Pal, C.: Localizing facial keypoints with global descriptor search, neighbour alignment and locally linear models. In: IEEE International Conference on Computer Vision Workshops (ICCVW), Sydney, pp. 362–369 (2013)
23.
Gross, R., Matthews, I., Cohn, J.F., Kanade, T., Baker, S.: Multi-PIE. In: Proceedings of The Eighth IEEE International Conference on Automatic Face and Gesture Recognition (2008)
24.
Messer, K., Matas, J., Kittler, J., Jonsson, J.: XM2VTSDB: the extended M2VTS database. In: Proceedings of Audio and Video-based Biometric Person Authentication, pp. 72–77 (1999)
25.
Císař, P., Železný, M., Krňoul, Z., Kanis, J., Zelinka, J., Müller, L.: Design and recording of Czech speech corpus for audio-visual continuous speech recognition. In: Proceedings of the Auditory-Visual Speech Processing International Conference 2005, Vancouver Island, pp. 1–4 (2005)
26.
Giraudel, A., Carré, M., Mapelli, V., Kahn, J., Galibert, O., Quintard, L.: The REPERE corpus : a multimodal corpus for person recognition. In: Proceedings of the Eight International Conference on Language Resources and Evaluation (LREC 2012) (2012)
Metadaten
Titel
An Analysis of Visual Faces Datasets
verfasst von
Ivan Gruber
Miroslav Hlaváč
Marek Hrúz
Miloš Železný
Alexey Karpov
Copyright-Jahr
2016
Buch
Interactive Collaborative Robotics

Print ISBN: 978-3-319-43954-9

Electronic ISBN: 978-3-319-43955-6

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-3-319-43955-6_3