Published Paper Details:

--Face recognition is a technology that identifies and verifies individuals by analyzing unique patterns based on their facial features. Different methods are used to make face recognition systems accurate and efficient. This paper offers diverse methodologies used in computer vision, focusing on face detection, recognition, and manipulation detection. Techniques such as detecting CNN-synthesized images involve training classifiers and creating datasets to identify forged images, while joint 3D face reconstruction and recognition methods optimize accuracy using deep neural networks. Additionally, 3D decomposition and composition search strategies aim to detect facial forgeries, and dimensionality reduction via PCA enhances computational efficiency. Low-light image enhancement techniques improve image quality, aiding in tasks like face detection, while face detection and recognition using face mesh and DNNs utilize advanced algorithms for accurate identification.