Computer Vision and Pattern Recognition (CVPR)

Computer Vision and Pattern Recognition (CVPR) is a field focused on enabling computers to interpret and understand visual information from images and videos. It involves developing algorithms that can identify objects, recognize patterns, and analyze visual data much like humans do. Applications include facial recognition, autonomous vehicles, medical imaging, and more. CVPR combines techniques from computer science, artificial intelligence, and machine learning to teach machines how to see, analyze, and make decisions based on visual inputs, ultimately bridging the gap between raw visual data and meaningful understanding.