Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Suparna Rooj"'
Autor:
Pravin Vasudeo Vaidya, Abir Dutta, Suparna Rooj, Rahul Talukdar, Komal Bhombe, Venkata Sundeep Seesala, Zahiruddin Quazi Syed, Tapas Kumar Bandyopadhyay, Santanu Dhara
Publikováno v:
Heliyon, Vol 9, Iss 6, Pp e16451- (2023)
Implant stability significantly impacts accelerated osseointegration, leading to faster patient recovery. Both primary and secondary stability necessitates superior bone-implant contact influenced by the surgical tool required to prepare the final os
Externí odkaz:
https://doaj.org/article/d6bfd163450a441f878b8cdd9121dc3a
Publikováno v:
Pattern Recognition Letters. 125:63-70
This paper proposes a novel local-appearance based feature descriptor namely Local Force Pattern (LFP), for robust heterogeneous face recognition. LFP features encode the directional information of the textures of the given face images compactly, pro
Publikováno v:
Signal Processing: Image Communication. 74:13-20
Face Recognition is one of the well-researched areas of biometrics. Although many researchers have shown considerable interest, the problems still persist because of unpredictable environmental factors affecting the acquisition of real-life face imag
Publikováno v:
IECON
Intensity estimation of genuine emotion is a challenge for an inexpressive face or deceiving emotion. Thermal modality is experimentally seen to have the capability to reflect true emotion. However, emotion intensity in thermal images is not studied
Publikováno v:
IECON
In affective computing, identifying the true emotion of an individual is still a significant concern. Under real-life conditions, muscle movements are found to be unreliable to identify the behavior of a person. Researchers have used thermal modality
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030177942
CVC (1)
CVC (1)
Face recognition in real life situations like low illumination condition is still an open challenge in biometric security. It is well established that the state-of-the-art methods in face recognition provide low accuracy in the case of poor illuminat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7269d7d508a8ce7858f8e7c39d79c681
https://doi.org/10.1007/978-3-030-17795-9_48
https://doi.org/10.1007/978-3-030-17795-9_48