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pro vyhledávání: '"Balaji Rao Katika"'
Autor:
Balaji Rao Katika, Kannan Karthik
Publikováno v:
EURASIP Journal on Information Security, Vol 2023, Iss 1, Pp 1-31 (2023)
Abstract Natural face images are both content and context-rich, in the sense that they carry significant immersive information via depth cues embedded in the form of self-shadows or a space varying blur. Images of planar face prints, on the other han
Externí odkaz:
https://doaj.org/article/b0196dc231e14bd6bb4c1ec437d748bb
Autor:
Balaji Rao Katika, Kannan Karthik
Publikováno v:
Pattern Analysis and Applications. 23:1735-1754
Existing architectures used in face anti-spoofing tend to deploy registered spatial measurements to generate feature vectors for spoof detection. This means that the ordering or sequence in which specific statistics are computed cannot be changed, as
Publikováno v:
2019 9th International Conference on Emerging Trends in Engineering and Technology - Signal and Information Processing (ICETET-SIP-19).
This paper proposes a novel higher order descriptors as Local Derivative Pattern(LDP), for face liveliness detection. We uses LDP frame work as directional descriptors based on change in texture of face. The nth order LDP descriptors are proposed to
Autor:
Balaji Rao Katika, Kannan Karthik
Publikováno v:
Proceedings of 3rd International Conference on Computer Vision and Image Processing ISBN: 9789813290877
CVIP (1)
CVIP (1)
The need for facial anti-spoofing has emerged to counter the usage of facial prosthetics and other forms of spoofing at unmanned surveillance stations. While some part of literature recognizes the difference in texture associated with a prosthetic in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d01f2d26d2ed6c2d4c3bb9f8e1dea5d1
https://doi.org/10.1007/978-981-32-9088-4_13
https://doi.org/10.1007/978-981-32-9088-4_13
Autor:
Balaji Rao Katika, Kannan Karthik
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030348687
PReMI (1)
PReMI (1)
Conventional face anti-spoofing paradigms tend to operate on plain facial profiles and learn either the natural face space alone (one-class training problem) or both the natural face space as well as the spoof sample space (2-class training problem).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e9b81272cd137caf2fa2a0ccc99fe18
https://doi.org/10.1007/978-3-030-34869-4_1
https://doi.org/10.1007/978-3-030-34869-4_1
Autor:
Balaji Rao Katika, Kannan Karthik
Publikováno v:
ICIIS
Natural images particularly connected with portraits exhibit a diversity in the sharpness profile commensurate with varying depth associated with different parts of the face. This depth variation puts the object (the 3D face) slightly out of focus in
Autor:
Kannan Karthik, Balaji Rao Katika
Publikováno v:
2017 2nd International Conference on Communication Systems, Computing and IT Applications (CSCITA).
Planar spoofing is a well researched problem, wherein a high quality planar photograph can be replayed in front of a still camera as a substitute for another individual's face. Most modern day face recognition systems can be fooled by this process, a