- Detection, segmentation and recognition of Face and its features using neural network. Smriti Tikoo1, Nitin Malik2 Research Scholar, Department of EECE, The Northcap University, Gurgaon, India.
- Nov 22, 2015 In this tutorial we learn all the theory and principles of a face recognition system and develop a very simple face recognition system based on mean and standard deviation features.
Face recognition with computer vision
Face recognition is the process of identifying one or more people in images or videos by analyzing and comparing patterns. Algorithms for face recognition typically extract facial features and compare them to a database to find the best match. Face recognition is an important part of many biometric, security, and surveillance systems, as well as image and video indexing systems.
Steps in the face recognition workflow.
Face detection is a very difficult technique for young students, so we collected some useful matlab source code, hope they can help. The source code and files included in this project are listed in the project files section, please make sure whether the listed source code meet your needs there.
Face recognition leverages computer vision to extract discriminative information from facial images, and pattern recognition or machine learning techniques to model the appearance of faces and to classify them.
You can use computer vision techniques to perform feature extraction to encode the discriminative information required for face recognition as a compact feature vector using techniques and algorithms such as:
- Dense local feature extraction with SURF, BRISK, or FREAK descriptors
- Histogram of oriented gradients
- Distance between detected facial landmarks such as eyes, noses, and lips
- Machine learning techniques that can be applied to the extracted features to perform face recognition or classification using:
- Supervised learning techniques such as support vector machines (SVM) and decision trees
- Ensemble learning methods
For more information, see MATLAB®, Computer Vision Toolbox™, Statistics and Machine Learning Toolbox™, and Deep Learning Toolbox™.
Face Detection Matlab Code Free Download Pdf Files
Examples and How To
- Face Recognition with MATLAB (7:40) - Video
- Essential Tools for Machine Learning (35:58) - Video
- ICAAM - Inverse Compositional Active Appearance Models - File Exchange
- Face Recognition System Using Kekre Transform - File Exchange
- Face Detection and Tracking Using the KLT Algorithm - File Exchange
Software Reference
- AdaBoost - Overview
- Object Recognition - Overview
- Deep Learning with MATLAB - Documentation
- Image Classification with Bag of Visual Words - Documentation
- Principal Component Analysis (PCA) - Documentation
Face Recognition Using Matlab Pdf
See also: Deep Learning, MATLAB and OpenCV, machine learning, object detection, object recognition, feature extraction, stereo vision, optical flow, RANSAC, pattern recognition, research with MATLAB