Computational Learning for Adaptive Computer Vision
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Beschreibung
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 learn from this experience in order to enhance future performance. The field has evolved from early pattern recognition and image processing to advanced image understanding, including model-based and knowledge-based vision. This book shows how machine learning can help create robust, flexible vision techniques for optimal functioning in real-world scenarios.
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.
Autor*in
Bir Bhanu