A5032465922- Advanced Image and Video Retrieval Techniques
- Face and Expression Recognition
- Infrared Target Detection Methodologies
- Image Enhancement Techniques
- Face recognition and analysis
- Hand Gesture Recognition Systems
- Algorithms and Data Compression
- Matrix Theory and Algorithms
- Advanced Topics in Algebra
- Chaos-based Image/Signal Encryption
- Cellular Automata and Applications
- Color Science and Applications
University of Constantine 3
2016-2018
University Frères Mentouri Constantine 1
2016-2017
The scale invariant feature transform (SIFT), which was proposed by David Lowe, is a powerful method that extracts and describes local features called keypoints from images. These are to scale, translation, rotation, partially image illumination variation. Despite their robustness against these variations, strong lighting variation difficult challenge for SIFT‐based facial recognition systems, where significant degradation of performance has been reported. To develop robust system under...
Gamma correction is an interesting method for improving image quality in uncontrolled illumination conditions case.This paper presents a new technique called Mean-Variance (MV-Gamma), which used estimating automatically the amount of gamma correction, absence any information about environmental light and imaging device.First, we valued every row column pixels matrix as random variable, where can calculate feature vector means/variances rows columns.After that, applied range inverse values on...
Scale Invariant Feature Transform (SIFT) method is used to detect and describe local images features (keypoints) that are invariant scale, rotation, translation partially image illumination changing. However, this gives unsatisfactory results under deteriorated lighting conditions. In other hand, the basic matching of SIFT can produce false matched features, which leads objects. To improve performance in situation, we propose paper use a preprocessing based on Gaussian filter an amelioration...