Applied Pattern Recognition
A sharp increase in the computing power of modern computers, accompanied by a decrease in the data storage costs, has triggered the development of extremely powerful algorithms that can analyze complex patterns in large amounts of data within a very short period of time. Consequently, it has become...
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| Other Authors: | , , |
| Language: | English |
| Published: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2008.
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| Edition: | 1st ed. 2008. |
| Series: | Studies in Computational Intelligence,
91 |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/978-3-540-76831-9 |
Table of Contents:
- Face Recognition Applications
- Skin-based Face Detection-Extraction and Recognition of Facial Expressions
- Facial Image Processing
- Face Recognition and Pose Estimation with Parametric Linear Subspaces
- Spatio-Temporal Patterns
- 4D Segmentation of Cardiac Data Using Active Surfaces with Spatiotemporal Shape Priors
- Measuring Similarity Between Trajectories of Mobile Objects
- Graph-Based Methods
- Matching of Hypergraphs — Algorithms, Applications, and Experiments
- Feature-Driven Emergence of Model Graphs for Object Recognition and Categorization
- Special Applications
- A Wavelet-based Statistical Method for Chinese Writer Identification
- Texture Analysis by Accurate Identification of a Generic Markov–Gibbs Model.