scholarly journals Weight Estimation for Audio-Visual Multi-level Fusion in Bimodal Speaker Identification

2006 ◽  
pp. 1107-1112
Author(s):  
Zhiyong Wu ◽  
Lianhong Cai ◽  
Helen M. Meng
Keyword(s):  
Speaker Identification ◽  
Weight Estimation ◽  
Multi Level ◽  
Level Fusion

Multi-Level Fusion Net for hand pose estimation in hand-object interaction

2021 ◽  
Vol 94 ◽  
pp. 116196
Author(s):  
Xiang-Bo Lin ◽  
Yi-Dan Zhou ◽  
Kuo Du ◽  
Yi Sun ◽  
Xiao-Hong Ma ◽  
...  
Keyword(s):  
Pose Estimation ◽  
Hand Pose Estimation ◽  
Object Interaction ◽  
Multi Level ◽  
Level Fusion ◽  
Hand Pose

Abdominal, multi-organ, auto-contouring method for online adaptive magnetic resonance guided radiotherapy: An intelligent, multi-level fusion approach

2018 ◽  
Vol 90 ◽  
pp. 34-41 ◽  
Author(s):  
Fan Liang ◽  
Pengjiang Qian ◽  
Kuan-Hao Su ◽  
Atallah Baydoun ◽  
Asha Leisser ◽  
...  
Keyword(s):  
Magnetic Resonance ◽  
Multi Level ◽  
Level Fusion ◽  
Fusion Approach

3D Vehicle Detection Using Multi-Level Fusion From Point Clouds and Images

2022 ◽  
pp. 1-9
Author(s):  
Kun Zhao ◽  
Lingfei Ma ◽  
Yu Meng ◽  
Li Liu ◽  
Junbo Wang ◽  
...  
Keyword(s):  
Vehicle Detection ◽  
Point Clouds ◽  
Multi Level ◽  
Level Fusion

Highlight-assisted nighttime vehicle detection using a multi-level fusion network and label hierarchy

2019 ◽  
Vol 355 ◽  
pp. 13-23 ◽  
Author(s):  
Yaoyang Mo ◽  
Guoqiang Han ◽  
Huaidong Zhang ◽  
Xuemiao Xu ◽  
Wei Qu
Keyword(s):  
Vehicle Detection ◽  
Multi Level ◽  
Level Fusion

Feature and Rank Level Fusion for Privacy Preserved Multi-Biometric System

2015 ◽  
Vol 7 (1) ◽  
pp. 1-17 ◽  
Author(s):  
Padma Polash Paul ◽  
Marina Gavrilova
Keyword(s):  
Main Idea ◽  
Random Projection ◽  
Decision Fusion ◽  
Projection Algorithm ◽  
Human Cognition ◽  
Biometric System ◽  
Biometric Technology ◽  
Template Security ◽  
Multi Level ◽  
Level Fusion

Privacy protection in biometric system is a newly emerging biometric technology that can provide the protection against various attacks by intruders. In this paper, the authors have presented a multi-level of random projection method based on face and ear biometric traits. Privacy preserved templates are used in the proposed system. The main idea behind the privacy preserve computation is the random projection algorithm. Multiple random projection matrixes are used to generate multiple templates for biometric authentication. Newly introduced random fusion method is used in the proposed system; therefore, proposed method can provide better template security, privacy and feature quality. Multiple randomly fused templates are used for recognition purpose and finally decision fusion is applied to generate the final classification result. The proposed method works in a similar way human cognition for face recognition works, furthermore it preserve privacy and multimodality of the system.

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