Results 11 to 20 of about 2,643,411 (303)
Attentional Feature Fusion [PDF]
2021 IEEE Winter Conference on Applications of Computer Vision (WACV), 2021 Accepted by WACV ...
Yimian Dai +4 more
openaire +5 more sources
Feature-Fusion Guidelines for Image-Based Multi-Modal Biometric Fusion [PDF]
South African Computer Journal, 2017 The feature level, unlike the match score level, lacks multi-modal fusion guidelines. This work demonstrates a new approach for improved image-based biometric feature-fusion.
Dane Brown, Karen Bradshaw
doaj +4 more sources
, 2009 This chapter introduces the basis of feature level fusion and presents two feature level fusion examples. As the beginning, Section 13.1 provides an introduction to feature level fusion. Section 13.2 describes two classes of feature level fusion schemes. Section 13.3 gives a feature level fusion example that fuses face and palm print.
David Zhang +3 more
openaire +2 more sources
InformationAs a key technology in multimodal information processing, infrared and visible image fusion holds significant application value in fields such as military reconnaissance, intelligent security, and autonomous driving.
Mingyang Zhao, Shaochen Su, Hao Li
doaj +2 more sources
On the Bayes fusion of visual features [PDF]
Image and Vision Computing, 2007 We consider the problem of image classification when more than one visual feature is available. In such cases, Bayes fusion offers an attractive solution by combining the results of different classifiers (one classifier per feature). This is the general form of the so-called ''naive Bayes'' approach.
Xiaojin Shi, Roberto Manduchi
openaire +2 more sources
Feature-based detection using Bayesian data fusion [PDF]
, 2013 Current cocaine detection techniques used at borders have their challenges, which include cost of training specialised operators, the high chance of operator error and the dangers involved in exposure of both operators and container contents to ...
Ayodeji Akiwowo (7179743) +1 more
core +5 more sources
Fusion of dynamic and static features for gait recognition over time [PDF]
, 2005 Gait recognition aims to identify people at a distance based on the way they walk. This paper deals with a problem of recognition by gait when time-dependent covariates are added, i.e.
Veres, Galina V +7 more
core +2 more sources
, 2023 Deep Learning Model based on Multi-scale Feature Fusion for Precipitation ...
Tan-qqh
core +1 more source
Feature-level fusion vs. single-modality classifiers (%).
, 2022 Feature-level fusion vs. single-modality classifiers (%).
Usman Alhaji Abdurrahman (12557618) +2 more
core +1 more source
A novel feature fusion network for multimodal emotion recognition from EEG and eye movement signals
Frontiers in Neuroscience, 2023 Emotion recognition is a challenging task, and the use of multimodal fusion methods for emotion recognition has become a trend. Fusion vectors can provide a more comprehensive representation of changes in the subject's emotional state, leading to more ...
Baole Fu +10 more
doaj +1 more source