Elsevier Processing, Analyzing and Learning of Images, Shapes, and Forms - Volume 19

Processing, Analyzing and Learning of Images, Shapes, and Forms: Volume 19, Part One delivers a comprehensive survey of contemporary developments in image, shape and form analysis and learning. Published by North Holland as part of the Handbook of Numerical Analysis series, this volume combines mathematical models with fast computational techniques for advanced research and practical applications. It features new chapters covering alternating diffusion for sensor fusion, shape correspondence and functional maps, geometric models for perception-based image processing, decomposition schemes for nonconvex composite minimisation, and low rank matrix recovery algorithms. Essential for researchers, mathematicians, and engineers working in computer vision, image processing, and computational geometry who require both theoretical foundations and state-of-the-art algorithmic approaches.