Computer Vision: A Modern Approach
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Computer vision involves teaching computers to interpret and understand visual information from the world. It employs algorithms to extract meaningful patterns and features from images or videos. Key techniques include image recognition, where computers identify objects or scenes and object detection, which locates and classifies multiple objects within an image. These processes rely on deep learning models, such as convolutional neural networks (CNNs), which mimic the human brain's visual processing to achieve high accuracy. Applications of computer vision range from autonomous vehicles and m...
Computer vision involves teaching computers to interpret and understand visual information from the world. It employs algorithms to extract meaningful patterns and features from images or videos. Key techniques include image recognition, where computers identify objects or scenes and object detection, which locates and classifies multiple objects within an image. These processes rely on deep learning models, such as convolutional neural networks (CNNs), which mimic the human brain's visual processing to achieve high accuracy. Applications of computer vision range from autonomous vehicles and medical image analysis to facial recognition and augmented reality. By enhancing machines' ability to perceive and analyse visual data, computer vision plays a crucial role in advancing technology across various fields. This book unravels the recent studies in the field of computer vision. It provides significant information of this discipline to help develop a good understanding of Artificial Intelligence and related fields. The topics covered in this book offer the readers new insights in the field of computer science and information technology.
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