IR @ Goa University

Browsing by Author "Raghavendra, R."

Browsing by Author "Raghavendra, R."

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  • Band level fusion using quaternion representation for extended multi-spectral face recognition 
    Vetrekar, N.; Raja, K.B.; Raghavendra, R.; Gad, R.S.; Busch, C. (20. Int. Conf. on Information Fusion (Fusion), China. 10-13 Jul 2017. IEEE.. 2017; 6pp.)
    With the availability of sensor technology across the broad electromagnetic spectrum, multi-spectral imaging is increasingly used in biometric systems. Especially for face recognition, multi-spectral imaging has gained a ...
  • Collaborative representation of Grassmann manifold projection metric for robust multi-spectral face recognition 
    Vetrekar, N.; Raja, K.B.; Raghavendra, R.; Gad, R.S.; Busch, C. (Int. Conf. on Security of Information and Network (SIN), Jaipur. 2017; 8pp.)
    Spectral face recognition is gaining importance as the information from different bands can lead to robust face representation that are presentation (a.k.a, spoofing) attack resistant. However, the key challenge here is ...
  • Detecting disguise attacks on multi-spectral face recognition through spectral signatures 
    Raghavendra, R.; Vetrekar, N.; Raja, K.B.; Gad, R.S.; Busch, C. (24. Int. Conf. on Pattern Recognition, Beijing, China, 20-24 Aug 2018; 2018.)
    Presentation attacks on Face Recognition System (FRS) have incrementally posed challenges to create new detection methods. Among the various presentation attacks, disguise attacks allow concealing the identity of the ...
  • Extended multi-spectral face recognition across two different age groups: An empirical study 
    Vetrekar, N.T.; Raghavendra, R.; Gaonkar, A.A.; Naik, G.M.; Gad, R.S. (The Indian Conference on Computer Vision, Graphics and Image Processing, IIT-Guwahati, India, ICVGIP, 18-22 Dec 2016. 2016; 8pp.)
    Face recognition has attained a greater importance in bio-metric authentication due to its non-intrusive property of identifying individuals at varying stand-off distance. Face recognition based on multi-spectral imaging ...
  • Extended multi-spectral imaging for gender classification based on image set 
    Vetrekar, N.; Raja, K.B.; Raghavendra, R.; Gad, R.S.; Busch, C. (Int. Conf. on Security of Information and Network (SIN), Jaipur. 2017; 6pp.)
    Gender prediction based on facial features has received significant attention in computer vision and biometric community. Most of the gender classification studies mainly focused there attention on approaches that operate ...
  • Extended spectral to visible comparison based on spectral band selection method for robust face recognition 
    Vetrekar, N.T.; Raghavendra, R.; Raja, K.B.; Gad, R.S.; Busch, C. (12. IEEE Int. Conf. Automatic Face and Gesture Recognition (FG 2017), Washington, DC, 30 May-3 Jun 2017. 2017; 924-930.)
    Multi-spectral imaging has recently acquired significant attention in biometrics based authentication due to it's potential ability to capture spatio-spectral images across the electromagnetic spectrum. Especially, in the ...
  • Low-cost multi-spectral face imaging for robust face recognition 
    Vetrekar, N.T.; Raghavendra, R.; Gad, R.S. (IEEE International Conference on Imaging Systems and Techniques (IST); 2016; 6pp.)
    Multi-spectral face recognition has acquired significant attention over a last few decades due to its potential of capturing spatial and spectral information across the electromagnetic spectrum. In this paper, we present ...
  • Multi-spectral imaging for artificial ripened banana detection 
    Vetrekar, N.; Raghavendra, R.; Raja, K.B.; Gad, R.S. (8 European Workshop on Visual Information Processing (EUVIP). 2019; 187-192.)
    Ripening is a natural process that makes fruits edible and nutritious. With increasing demand, the practice to employ artificial ripening of fruits have been increased recently in the market chain to fulfill the needs of ...
  • Photometric normalization techniques for extended multi-spectral face recognition: A comparative analysis 
    Vetrekar, N.T.; Raghavendra, R.; Gad, R.S.; Naik, G.M. (2. Workshop on Computer Vision Applications, IIT-Guwahati, India, ICVGIP-18-22 Dec 2016. 2016; 12pp.)
    Biometric authentication based on face recognition acquired enormous attention due to its non-intrusive nature of image capture. Recently, with the advancement in sensor technology, face recognition based on Multi-spectral ...
  • Photometric normalization techniques for extended multi-spectral face recognition: A comparative analysis 
    Vetrekar, N.T.; Raghavendra, R.; Gad, R.S.; Naik, G.M. (Computer Vision, Graphics, and Image Processing (ICVGIP 2016), Ed. by: Snehasis Mukherjee, Suvadip Mukherjee, Dipti Prasad Mukherjee, Jayanthi Sivaswamy, Suyash Awate, Srirangaraj Setlur, Anoop M. Namboodiri, Santanu Chaudhury. Lecture Notes in Computer Science. Springer. 10481; 2017; 27-38.)
    Biometric authentication based on face recognition acquired enormous attention due to its non-intrusive nature of image capture. Recently, with the advancement in sensor technology, face recognition based on Multi-spectral ...
  • Robust gender classification using extended multi-spectral imaging by exploring the spectral angle mapper 
    Vetrekar, N.; Raghavendra, R.; Raja, K.B.; Gad, R.S.; Busch, C. (Int. Conf. on Identity, Security and Behavior Analysis (ISBA), Jan 2018, Singapore. 2018; 8pp.)
    Gender classification based on the facial characteristic, has been widely studied in the literature across visible and near infrared spectrum. In this paper, we explore the applicability of extended multi-spectral imaging ...
  • Robust gender classification using multi-spectral imaging 
    Vetrekar, N.; Raghavendra, R.; Raja, K.B.; Gad, R.S.; Busch, C. (Int. Conf. on Signal Image Technology & Internet Based Systems (SITIS), Jaipur. 2017; 8pp.)
    Multi-Spectral imaging is gaining importance in recent times due to it's ability to capture spatio-spectral data across the electromagnetic spectrum. In this paper, we present a robust gender classification approach by ...
  • Robust multi-spectral imaging for ocular biometric 
    Vetrekar, N.; Raghavendra, R.; Raja, K.B.; Gad, R.S.; Busch, C. (11. IAPR Int. Conf. on Biometrics (ICB 2018), Australia. 2018; 7pp.)
    Recent development of sensors has allowed the biometric community to explore the possibility of authentication beyond visible spectrum. More importantly, multi-spectral imaging in biometric has shown great potential to ...