Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Bücher
Zeitschriften
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
ATZ-Fachkongress

Chassis.tech plus 2024


4 Kongresse in einer Veranstaltung

Treffen Sie in München die Fachleute von Chassis, Lenkung, Bremsen sowie Reifen/Räder.
Erweiterte Suche
Anmelden
nach oben
Erschienen in:
Study and Analysis of Subthreshold Leakage Current in Sub-65 nm NMOSFET Kapitel lesen Erstes Kapitel lesen

2016 | OriginalPaper | Buchkapitel

A Comparative Study on Multi-view Discriminant Analysis and Source Domain Dictionary Based Face Recognition

verfasst von : Steven Lawrence Fernandes, G. Josemin Bala

Erschienen in: Information Systems Design and Intelligent Applications

Verlag: Springer India

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Human face images captured in real world scenarios using surveillance cameras won’t always contain single view, instead they usually contain multi-view. Recognizing multi-view faces is still a challenging task. Multi-view Discriminant Analysis (MDA) and Source Domain Dictionary (SSD) are two techniques which we have developed and analyzed in this paper to recognize faces across multi-view. In MDA the faces collected from various views are reflected to a discriminant general space by making use of transforms of those views. SSD on the other hand is based on sparse representation, which efficiently makes the dictionary model of source data. It also signifies each class of data discriminatively. Both the developed techniques are validated on CMU-Multi PIE face database which contains 337 people recorded under 15 different view positions and 19 different conditions.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Vorheriges Kapitel Multi-level Fusion of Palmprint and Dorsal Hand Vein
Nächstes Kapitel Mining Maximal Efficient Closed Itemsets Without Any Redundancy
Literatur
1.
Lee, H. S, Kim, D.: Generating frontal view face image for pose invariant face recognition. Pattern Recognition Letters, vol.27, no. 7, pp 747–754 (2006).
2.
Steven L. Fernandes, G. Josemin Bala.: 3D and 4D Face Recognition: A Comprehensive Review. Recent Patents on Engineering. vol. 8, no. 2, pp. 112–119 (2014).
3.
Gründig M. and Hellwich,O.: 3D Head Pose Estimation with Symmetry Based Illumination Model in Low Resolution Video. LNCS, pp. 45–53 (2004).
4.
Steven L. Fernandes, G. Josemin Bala.: Development and Analysis of Various State of the Art Techniques for Face Recognition under varying Poses. Recent Patents on Engineering, vol. 8, no. 2, pp 143–146 (2014).
5.
Balasubramanian, V.N., Krishna, S., Panchanathan, S.: Person-independent head pose estimation using biased manifold embedding. EURASIP J. Adv. Signal Process., pp. 1–15 (2008).
6.
Steven L. Fernandes, G. Josemin Bala.: Recognizing Faces When Images Are Corrupted By Varying Degree of Noises and Blurring Effects. Advances in Intelligent Systems and Computing, vol. 337, no. 1, pp 101–108 (2015).
7.
Steven L. Fernandes, G. Josemin Bala.: Low Power Affordable, Efficient Face Detection In The Presence Of Various Noises and Blurring Effects on A Single-Board Computer. Advances in Intelligent Systems and Computing, vol. 337, no. 1, pp. 119–127 (2015).
8.
Steven L. Fernandes, G. Josemin Bala.: Recognizing facial images in the presence of various Noises and Blurring effects using Gabor Wavelets, DCT Neural Network, Hybrid Spatial Feature Interdependence Matrix. In: 2nd IEEE Int. Conf. on Devices, Circuits and Systems, Coimbatore (2014).
9.
Steven L. Fernandes, G. Josemin Bala.: Recognizing Facial Images Using ICA, LPP, MACE Gabor Filters, Score Level Fusion Techniques. In: IEEE Int. Conf. Electronics and Communication Systems, Coimbatore (2014).
10.
Steven L. Fernandes, G. Josemin Bala.: Robust Face Recognition in the presence of Noises and Blurring effects by fusing Appearance based techniques and Sparse Representation. In: IEEE Int. Conf. on Advanced Computing, Networking and Security, Surathkal (2013).
11.
Steven L. Fernandes, G. Josemin Bala, et al.: A Comparative Study on Score Level Fusion Techniques and MACE Gabor Filters for Face Recognition in the presence of Noises and Blurring effects. In: IEEE Int. Conf. on Cloud & Ubiquitous Computing and Emerging Technologies, Pune (2013).
12.
Ghiass, R.S., Sadati, N.: Multi-view face detection and recognition under variable lighting using fuzzy logic. In: Int. Conf. on Wavelet Analysis and Pattern Recognition, Hong Kong (2008).
13.
Abiantun, R., Savvides, M.: Boosted multi image features for improved face detection. In: 37th IEEE on Applied Imagery Pattern Recognition Workshop, Washington DC (2008).
14.
Ghiass, R.S., Fatemizadeh, E., Marvasti.: Designing an illumination effect cancelling filter in facial images for multi-view face detection and recognition in images with complex background. In: International Symposium on Telecommunications, Tehran (2008).
15.
Quanbin LI., Xiaoming Wang., Jingao Liu.: A novel approach for multi-pose face detection by using skin color and FloatBoost. In: 8th World Congress on Intelligent Control and Automation, Jinan (2010).
16.
Steven L. Fernandes, G. Josemin Bala.: Recognizing Faces Across Age Progressions and Under Occlusion. Recent Patents on Computer Science, UAE (2015).
17.
Steven L. Fernandes, G. Josemin Bala.: A Novel Technique to Detect and Recognize Faces in Multi-view Videos. In: 19th International Conference on Circuits, Systems, Communications and Computer, pp 427–433, Greece, Europe (2015).
18.
Steven L. Fernandes, G. Josemin Bala.: A Comparative Study to Recognize Surgically Altered Images. In: 19th International Conference on Circuits, Systems, Communications and Computer, pp 434–439, Greece, Europe (2015).
19.
Deboeverie, F., Veelaert, P., Philips, W.: Best view selection with geometric feature based face recognition. In: 19th IEEE International Conference on Image Processing, Orlando, FL (2012).
20.
Steven L. Fernandes, G. Josemin Bala.: Analysing State of the Art Techniques to Recognize Faces under Multimodal Biometrics. Advances in Intelligent Systems and Computing, vol. 381, no.3, pp 473–478, (2015).
21.
Steven L. Fernandes, G. Josemin Bala.: Simulation Level Implementation of Face Recognition under Un-controlled Environment. Advances in Intelligent Systems and Computing, vol. 381, no. 3, pp 467–472, (2015).
22.
Ying Ying., Han Wang., Jian Xu.:An automatic system for multi-view face detection and pose estimation. In: 11th International Conference on Control Automation Robotics and Vision, Singapore (2010).
Metadaten
Titel
A Comparative Study on Multi-view Discriminant Analysis and Source Domain Dictionary Based Face Recognition
verfasst von
Steven Lawrence Fernandes
G. Josemin Bala
Copyright-Jahr
2016
Verlag
Springer India
Buch
Information Systems Design and Intelligent Applications

Print ISBN: 978-81-322-2753-3

Electronic ISBN: 978-81-322-2755-7

Copyright-Jahr: 2016

DOI
https://doi.org/10.1007/978-81-322-2755-7_35

Premium Partner

    Bildnachweise