January 2008
Intermediate to advanced
320 pages
8h 11m
English
book
Information Fusion in Signal and Image Processing: Major Probabilistic and Non-Probabilistic Numerical Approaches
by Isabelle Bloch
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Table of Contents
Isabelle BLOCH
Isabelle BLOCH and Henri MAÎTRE
1.3. General characteristics of the data
1.6. Fusion in signal and image processing and fusion in other fields
Chapter 2. Fusion in Signal Processing
Jean-Pierre LE CADRE, Vincent NIMIER and Roger REYNAUD
2.2. Objectives of fusion in signal processing
2.2.1. Estimation and calculation of a law a posteriori
2.2.2. Discriminating between several hypotheses and identifying
2.2.3. Controlling and supervising a data fusion chain
2.3. Problems and specificities of fusion in signal processing
2.3.2. Quality of the information
2.3.3. Representativeness and accuracy of learning and a priori information
Chapter 3. Fusion in Image Processing
Isabelle BLOCH and Henri MAÎTRE
3.1. Objectives of fusion in image processing
3.3. Data characteristics in image fusion
3.5. Numerical and symbolic aspects in image fusion
Michéle ROMBAUT
4.1. The necessity for fusion in robotics
4.2. Specific features of fusion in robotics
4.2.1. Constraints on the perception system
4.2.2. Proprioceptive and exteroceptive sensors
4.2.3. Interaction with the operator and symbolic interpretation
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