Pattern Recognition and Image Analysis

This comprehensive two-volume set presents the cutting-edge research from the Second Iberian Conference on Pattern Recognition and Image Analysis, featuring 170 peer-reviewed papers that represent the forefront of computer vision technology. The collection spans critical domains including shape analysis, image processing algorithms, and video coding techniques, offering a substantial overview of computational methods for visual data interpretation. These proceedings capture significant advancements in machine perception systems, from fundamental pattern matching to sophisticated surveillance applications.

What distinguishes this compilation is its breadth across both theoretical foundations and practical implementations in computer vision and image analysis. Researchers and graduate students will find particular value in the specialized sections covering facial recognition technology, human activity interpretation, and robotic vision systems. The rigorous peer-review process ensures that each contribution meets high academic standards, making this an essential reference for anyone working in pattern recognition, computer vision research, or image processing development during this pivotal period in the field's evolution.