Face Recognition Projects Research Assistance
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The document provides an overview of face recognition projects, detailing their applications in areas such as criminal investigation, smartphone login, and video surveillance. It discusses the latest trends, including various detection methods and modern algorithms such as deep learning techniques. Additionally, it lists recent datasets used in face recognition research.
Face Recognition Projects Research Assistance
- 2. Requirements of Face Recognition Projects These are the fields which uses face recognition projects below, VIP and Age Invariant Recognition Criminal Investigation Smartphone Login PC Login Banking Login Video Surveillance
- 3. Upmost Developments - Face Recognition The topmost trends are comprises of face recognition projects which are listed below, Preserve Person De- Identification Illumination or Expression based Face Detection Facial Expression or Emotion Detection Face Familiarity Detection (Friend or Stranger) Face Sketch Synthesis Age Invariant Face Recognition
- 4. Recent Datasets - Face Recognition This newest datasets which used under face recognition projects are listed below, 2Dimensional FRGC-DB CAS-PEAL SCface YaleB 3Dimensional GAVA-DB UMB Database Texas 3D-FRD
- 5. Modern Application Algorithms Let’s we see the newest apps algorithm which are covered by face recognition Projects Generative Moment Matching Networks (GMM) Boltzmann Machines Deep Belief Networks (DBN) Deep Convolutional GANs (DCGANs) Variational Autoencoders (VAE) Generative Adversarial Networks (GAN)