North Holland Processing, Analyzing and Learning of Images Vol 19

Processing, Analyzing and Learning of Images, Shapes, and Forms: Volume 19, Part One offers a deep survey of current developments in the analysis and learning of images, shapes, and forms. This volume from the Handbook of Numerical Analysis series provides essential knowledge for researchers and students working in advanced computational fields. The text covers a wide range of mathematical models and fast computational techniques. It is designed to help readers understand complex processes through structured academic insight. By exploring various methodologies, this book serves as a foundational resource for those studying how digital information is interpreted and processed. This volume includes specialized chapters on topics such as Alternating diffusion through geometric approaches for sensor fusion, Shape Correspondence and Functional Maps, and Geometric models for perception-based image processing. It also addresses Decomposition schemes for nonconvex composite minimization, covering both theory and applications, as well as Low rank matrix research. This collection is a vital addition to any academic library focused on numerical analysis and image processing.