The book "Image Correlation for Shape, Motion and Deformation Measurements" by Michael A. Sutton, Jean-José Orteu, and Hubert W. Schreier is a comprehensive reference for engineers, scientists, and educators interested in advanced, image-based, non-contact measurement methods. The authors, with extensive experience in computer vision and experimental measurements, provide a balanced and detailed treatment of the subject, covering both theoretical foundations and practical applications. The book is structured into ten chapters, each focusing on different aspects of image correlation and computer vision. Key topics include: 1. **Introduction and Literature Survey**: Provides an overview of the field and a literature review. 2. **Basic Optical Developments**: Discusses the optics of cameras and modeling of vision systems. 3. **Single Camera Models and Calibration**: Covers camera models, distortion, and calibration procedures. 4. **Two-Dimensional and Three-Dimensional Computer Vision**: Explores single and stereo camera systems, including calibration and epipolar geometry. 5. **Digital Image Correlation (DIC)**: Introduces image matching methods, subset shape functions, and error analysis. 6. **In-Plane Measurements**: Focuses on in-plane deformation measurements using single-camera systems, including the effects of out-of-plane motion. 7. **Stereo-Vision System Applications**: Details the design and application of stereo-vision systems for three-dimensional measurements. 8. **Volumetric Digital Image Correlation (VDIC)**: Discusses volumetric imaging and pattern recording, system calibration, and shape and deformation measurements. 9. **Error Estimation in Stereovision**: Provides methods for estimating errors in stereovision measurements. 10. **Practical Considerations**: Offers guidelines for accurate measurements using 2D and 3D image correlation methods. The book also includes appendices covering essential background information in areas such as continuum mechanics, linear algebra, surface strain estimation, and projective geometry. The authors acknowledge the contributions of numerous students, colleagues, and research institutions, highlighting the collaborative nature of the work.The book "Image Correlation for Shape, Motion and Deformation Measurements" by Michael A. Sutton, Jean-José Orteu, and Hubert W. Schreier is a comprehensive reference for engineers, scientists, and educators interested in advanced, image-based, non-contact measurement methods. The authors, with extensive experience in computer vision and experimental measurements, provide a balanced and detailed treatment of the subject, covering both theoretical foundations and practical applications. The book is structured into ten chapters, each focusing on different aspects of image correlation and computer vision. Key topics include: 1. **Introduction and Literature Survey**: Provides an overview of the field and a literature review. 2. **Basic Optical Developments**: Discusses the optics of cameras and modeling of vision systems. 3. **Single Camera Models and Calibration**: Covers camera models, distortion, and calibration procedures. 4. **Two-Dimensional and Three-Dimensional Computer Vision**: Explores single and stereo camera systems, including calibration and epipolar geometry. 5. **Digital Image Correlation (DIC)**: Introduces image matching methods, subset shape functions, and error analysis. 6. **In-Plane Measurements**: Focuses on in-plane deformation measurements using single-camera systems, including the effects of out-of-plane motion. 7. **Stereo-Vision System Applications**: Details the design and application of stereo-vision systems for three-dimensional measurements. 8. **Volumetric Digital Image Correlation (VDIC)**: Discusses volumetric imaging and pattern recording, system calibration, and shape and deformation measurements. 9. **Error Estimation in Stereovision**: Provides methods for estimating errors in stereovision measurements. 10. **Practical Considerations**: Offers guidelines for accurate measurements using 2D and 3D image correlation methods. The book also includes appendices covering essential background information in areas such as continuum mechanics, linear algebra, surface strain estimation, and projective geometry. The authors acknowledge the contributions of numerous students, colleagues, and research institutions, highlighting the collaborative nature of the work.