Abstract
The multimodal information can be assimilated at three levels 1) early
fusion, 2) intermediate fusion, and 3) late fusion. Early fusion can be performed at the
sensor or signal level. Intermediate fusion can be at the feature level, and late fusion
may be done at the decision level. Apart from that, some more fusion techniques are
rank-based, adaptive, etc. This chapter provides an extensive review of studies based
on fusion and reported noticeable work herewith. Eventually, we discussed the
challenges associated with multimodal fusion.
Keywords: Decision fusion, Feature fusion, Multi-modal fusion, Sensor fusion.
Related Journals
Recent Patents on Computer Science
The Chinese Journal of Artificial Intelligence
Current Chinese Computer Science
Journal of Fuzzy Logic and Modeling in Engineering
Recent Advances in Computer Science and Communications
International Journal of Sensors, Wireless Communications and Control
Journal of Intelligent Systems in Current Computer Engineering
Current E-Learning
Current Computer Science
Wireless and Communication Letters
Related Books
Computational Intelligence For Data Analysis
Applied Machine Learning and Multi-Criteria Decision-Making in Healthcare
A First Course in Artificial Intelligence
Artificial Intelligence: Models, Algorithms and Applications
Advanced Computing Techniques: Implementation, Informatics and Emerging Technologies
Handbook of Mobile Application Development: A Guide to Selecting the Right Engineering and Quality Features
Applications of Modern High Performance Networks
Arduino Meets Matlab: Interfacing, Programs and Simulink
Arduino and SCILAB based Projects
Application of Chaos and Fractals to Computer Vision