Computer vision (CV) research seeks to provide computers with human-like perception capabilities so that they can sense the environment, understand the sensed data, take appropriate actions, and enhance future performance by learning from experience. Technology is pushing for computer vision systems to address real-world applications, such as navigation, target recognition, manufacturing, photointerpretation and remote sensing. This book shows how machine learning can help create robust, flexible vision techniques for optimal functioning in real-world scenarios.