scholarly journals MFNet‐LE: Multilevel fusion network with, Laplacian embedding for face presentation attacks detection

2021 ◽  
Author(s):  
Sijie Niu ◽  
Xiaofeng Qu ◽  
Junting Chen ◽  
Xizhan Gao ◽  
Tingwei Wang ◽  
...  
Keyword(s):  
Face Presentation ◽  
Multilevel Fusion

Does the postoperative cervical lordosis angle affect the cervical rotational range of motion after cervicothoracic multilevel fusion?

2021 ◽  
Vol 90 ◽  
pp. 105484
Author(s):  
Christoph Scholz ◽  
Marc Hohenhaus ◽  
Ulrich Hubbe ◽  
Waseem Masalha ◽  
Yashar Naseri ◽  
...  
Keyword(s):  
Range Of Motion ◽  
Cervical Lordosis ◽  
Multilevel Fusion

Face Presentation Attack with Latex Masks in Multispectral Videos

2017 ◽  
Author(s):  
Akshay Agarwal ◽  
Daksha Yadav ◽  
Naman Kohli ◽  
Richa Singh ◽  
Mayank Vatsa ◽  
...  
Keyword(s):  
Face Presentation

A MULTILEVEL FUSION APPROACH TO OBJECT IDENTIFICATION IN OUTDOOR ROAD SCENES

1995 ◽  
Vol 09 (01) ◽  
pp. 23-65 ◽  
Author(s):  
VITTORIO MURINO ◽  
CARLO S. REGAZZONI ◽  
GIAN LUCA FORESTI ◽  
GIANNI VERNAZZA
Keyword(s):  
Data Integration ◽  
Environmental Conditions ◽  
Autonomous Vehicle ◽  
A Priori ◽  
Object Identification ◽  
Distributed Knowledge ◽  
Knowledge Based ◽  
Multilevel Fusion ◽  
Fusion Framework ◽  
Fusion Approach

The task of object identification is fundamental to the operations of an autonomous vehicle. It can be accomplished by using techniques based on a Multisensor Fusion framework, which allows the integration of data coming from different sensors. In this paper, an approach to the synergic interpretation of data provided by thermal and visual sensors is proposed. Such integration is justified by the necessity for solving the ambiguities that may arise from separate data interpretations. The architecture of a distributed Knowledge-Based system is described. It performs an Intelligent Data Fusion process by integrating, in an opportunistic way, data acquired with a thermal and a video (b/w) camera. Data integration is performed at various architecture levels in order to increase the robustness of the whole recognition process. A priori models allow the system to obtain interesting data from both sensors; to transform such data into intermediate symbolic objects; and, finally, to recognize environmental situations on which to perform further processing. Some results are reported for different environmental conditions (i.e. a road scene by day and by night, with and without the presence of obstacles).

Face presentation

1953 ◽  
Vol 66 (6) ◽  
pp. 1185-1190 ◽  
Author(s):  
Tom Reinke
Keyword(s):  
Face Presentation

scholarly journals Simultaneous odour-face presentation strengthens hedonic evaluations and event-related potential responses influenced by unpleasant odour

2018 ◽  
Vol 672 ◽  
pp. 22-27 ◽  
Author(s):  
Stephanie Cook ◽  
Katerina Kokmotou ◽  
Vicente Soto ◽  
Hazel Wright ◽  
Nicholas Fallon ◽  
...  
Keyword(s):  
Event Related Potential ◽  
Face Presentation
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