|
Web
Education
Viewing 1-5 of 5 total results
International Journal of Advance Research in Computer ...
Face Recognition System (FRS) is a computer application, which can detect, verify and recognize the faces. This paper gives the literature survey of the related work. The area is still an active area of research and new algorithms are being published with increased accuracy and reduced recognition time. All FRS algorithms have the same objective of achieving high accuracy in face recognition ......
Applying Artificial Neural Networks for Face Recognition
4. The Association of Geometric Feature-Based Method and Independent Component Analysis in Facial Feature Extraction One of the most important steps in the face recognition problem is the facial feature extraction. A good feature extraction will increase the performance of face recognition system....
 Enhancing Performance of Face Recognition System Using ...
facebook uses face recognition system to help automate user tagging in photographs. To design high performance algorithms for automatic face recognition systems is a challenging task in the field of computer vision and pattern recognition for real time applications. Independent Component Analysis (ICA) is a...
Face Recognition: From Traditional to Deep Learning Methods
Fig. 2: Face recognition building blocks. face recognition research, as CNNs are being used to solve many other computer vision tasks, such as object detection and recognition, segmentation, optical character recognition, facial expression analysis, age estimation, etc. Face recognition systems are usually composed of the following building blocks:...
US20080247608A1 - Method, System, Storage Medium, and Data ...
A method, system, computer-readable medium and data structure are provided for processing image data in connection with image recognition. A response of an image (FIG. 6 element 210 ) to a basis tensor can be determined after the image is applied thereto. The image response can be flattened (FIG. 6 element 220 ). A coefficient vector may be extracted from the image response (FIG.
|
