The book "Landmark-Based Image Analysis" by Karl Rohr provides a comprehensive examination of the use of landmarks in image analysis, which are significant for various tasks in computer vision. Landmarks, which include both artificial and natural features, are crucial for image measurement, registration, camera calibration, motion analysis, 3D scene reconstruction, and object recognition. Their robustness to varying lighting conditions and radiometric variations, as well as their efficiency in processing, make them a preferred choice in image processing. The book discusses the extraction of landmarks from images and their application in elastic image registration, with a particular focus on model-based approaches. It distinguishes between geometric models that describe the shape of objects and intensity models that represent image intensities. The developed algorithms and methods provide valuable insights into image analysis and its applications in various fields.