Gauss–Newton algorithm

2.5.3 High-Level Feature Extraction High-level feature matching based on finding shapes and objects implies knowledge of a mathematical model or template of a target shape. This technique is a model-based in which the shape is extracted by searching for the best correlation between a known model and the pixels of the image. Hough transform represents an efficient implementation of computing the correlation between the template and the image by extracting simple shapes such as lines, circles