Image correlation for shape, motion, and deformation measurements is a technique used to analyze the deformation and motion of materials using digital images. The book "Image Correlation for Shape, Motion and Deformation Measurements" by Michael A. Sutton, Jean-José Orteu, and Hubert W. Schreier provides a comprehensive overview of the theory, applications, and practical implementation of this technique. The authors have extensive experience in the field of computer vision and experimental mechanics, and they have developed a balanced and comprehensive treatment of the subject. The book is intended for engineers, scientists, and educators who wish to use advanced, image-based, non-contacting measurement methods to measure the shape and deformation of materials under various conditions. It covers both basic theoretical formulations in image correlation and computer vision, as well as recent developments and practical applications in two-dimensional, three-dimensional, and volumetric image correlation methods. The text is intended as an advanced supplement for an upper-level undergraduate class or as a companion text for a graduate-level class in measurements, experimental mechanics, or non-contacting, vision-based image analysis methods. The book includes detailed discussions on various aspects of image correlation, including image matching, subset shape functions, intensity pattern metrics, and error estimation. It also covers applications of image correlation in various fields such as civil engineering, mechanical engineering, material science, electronic packaging, biomedical, manufacturing, joining, and photogrammetry. The authors also discuss the use of stereo-vision systems for three-dimensional measurement of surface deformations and the development and application of 3D stereomicroscopy systems for microscale deformation and shape measurements. The book also includes a detailed discussion on volumetric image correlation, which is used to measure the deformation of materials in three dimensions. The authors provide a comprehensive overview of the theory and applications of image correlation, as well as practical considerations for accurate measurements. The book is accompanied by appendices that provide background information on essential concepts in computer vision and the practical application of the method for shape and deformation measurements. The authors have also provided a detailed discussion on the use of digital image correlation for material property measurements and the development of nanoscale patterns for microscale displacement and strain measurements.Image correlation for shape, motion, and deformation measurements is a technique used to analyze the deformation and motion of materials using digital images. The book "Image Correlation for Shape, Motion and Deformation Measurements" by Michael A. Sutton, Jean-José Orteu, and Hubert W. Schreier provides a comprehensive overview of the theory, applications, and practical implementation of this technique. The authors have extensive experience in the field of computer vision and experimental mechanics, and they have developed a balanced and comprehensive treatment of the subject. The book is intended for engineers, scientists, and educators who wish to use advanced, image-based, non-contacting measurement methods to measure the shape and deformation of materials under various conditions. It covers both basic theoretical formulations in image correlation and computer vision, as well as recent developments and practical applications in two-dimensional, three-dimensional, and volumetric image correlation methods. The text is intended as an advanced supplement for an upper-level undergraduate class or as a companion text for a graduate-level class in measurements, experimental mechanics, or non-contacting, vision-based image analysis methods. The book includes detailed discussions on various aspects of image correlation, including image matching, subset shape functions, intensity pattern metrics, and error estimation. It also covers applications of image correlation in various fields such as civil engineering, mechanical engineering, material science, electronic packaging, biomedical, manufacturing, joining, and photogrammetry. The authors also discuss the use of stereo-vision systems for three-dimensional measurement of surface deformations and the development and application of 3D stereomicroscopy systems for microscale deformation and shape measurements. The book also includes a detailed discussion on volumetric image correlation, which is used to measure the deformation of materials in three dimensions. The authors provide a comprehensive overview of the theory and applications of image correlation, as well as practical considerations for accurate measurements. The book is accompanied by appendices that provide background information on essential concepts in computer vision and the practical application of the method for shape and deformation measurements. The authors have also provided a detailed discussion on the use of digital image correlation for material property measurements and the development of nanoscale patterns for microscale displacement and strain measurements.