ARTIFICIAL INTELLIGENCE ALGORITHMS IN FACE RECOGNITION AND OBJECT DETECTION
Keywords:
Computer vision encompasses image recognition, teaching computers to recognize and respond to people.Abstract
Facial recognition is a well-established and popular field in Computer Vision, especially with advancements in deep learning and data sets. Deep facial recognition has made significant progress and is widely applied in real-world scenarios. A complete facial recognition system involves three main components: facial recognition, orientation, and representation. This system detects faces, aligns them to a standard view, and extracts features for recognition using deep convolutional neural networks. This article provides a detailed overview of the latest advancements in these areas, showing how deep learning has greatly enhanced their abilities. Object detection in machine vision is a challenging area that requires significant improvements. While image classification accuracy is nearing 2.25%, surpassing human performance, object detection algorithms are still in the early stages. Current algorithms achieve only 40.8 MAPS on modern objects, so careful dataset selection is crucial for optimal results.
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