Computer Vision and Its Application in Facial Recognition and Object Classification.

Computer vision is a field that aims to enable computers to understand and interpret visual data like humans do, using techniques such as the Viola-Jones algorithm for face detection and convolutional neural networks for object classification. Recent advancements include state-of-the-art object detection algorithms like YOLO and SSD, as well as facial recognition techniques like FaceNet and ArcFace. Challenges in computer vision include issues related to lighting conditions, occlusion, and pose variation, while potential applications range from surveillance systems to medical imaging and robotics.