Face Recognition

Welcome to Face Recognition Directory Listing Website

Face Recognition Directory Listing Website serves as a comprehensive test framework for various face recognition methods, leveraging advanced technologies like Neural Networks with TensorFlow and Caffe. Explore a range of preprocessing algorithms and feature extraction methods to enhance your face recognition experience.

Key Features:

• Preprocessing Algorithms:

  1. Grayscale
  2. Crop
  3. Eye Alignment
  4. Gamma Correction
  5. Difference of Gaussians
  6. Canny Filter
  7. Local Binary Pattern
  8. Histogram Equalization (when using grayscale)
  9. Resize

• Feature Extraction and Classification Methods:

  1. Eigenfaces with Nearest Neighbour
  2. Image Reshaping with Support Vector Machine
  3. TensorFlow with SVM or KNN
  4. Caffe with SVM or KNN

Benefits:

• Easily customizable preprocessing and feature extraction options
• Detailed user manual available for guidance
• Optimized performance for different recognition modes
• Compatibility with armeabi-v7a devices and above
• Enhanced accuracy with the "VGG Face Descriptor" model

Why Choose This Directory Listing Website:

• Access to TensorFlow and Caffe models for advanced face recognition
• Detailed instructions for setting up and configuring models
• Customizable settings for optimal performance and accuracy

Technical Information:

• TensorFlow:

  • Download the Tensorflow Inception5h model here
  • Default settings:
    • Number of classes: 1001
    • Input Size: 224
    • Image mean: 128
    • Output size: 1024
    • Input layer: input
    • Output layer: avgpool0

• VGG Face Descriptor Model (TensorFlow):

  • Download the model here
  • Caution: Requires devices with at least 3GB of RAM
  • Default settings:
    • Number of classes: 1000
    • Input Size: 224
    • Image mean: 128
    • Output size: 4096
    • Input layer: Placeholder
    • Output layer: fc7/fc7

• VGG Face Descriptor Model (Caffe):

  • Download the model here
  • Caution: Requires devices with at least 3GB of RAM
  • Default settings:
    • Mean values: 104, 117, 123
    • Output layer: fc7

Get Started Now

Explore the possibilities of advanced face recognition with our directory listing website. Access the detailed user manual at this link and make the most of cutting-edge technologies for accurate and efficient recognition.

For licensing information, visit here and here.

Unlock the power of face recognition today!