We propose a novel FPGA-based architecture for the extraction of four texture features using Gray Level Cooccurrence Matrix (GLCM) analysis. These features are angular second mome...
Dimitrios E. Maroulis, Dimitrios K. Iakovidis, Dim...
This paper presents an FPGA based architecture for high speed edge and corner detection. Applications targeted are in high speed computer vision (i.e. more than 100 images per sec...
We propose a new fast facial-feature extraction technique for embedded face-recognition applications. A deformable feature model is adopted, of which the parameters are optimized t...
Design and implementation of a fast parallel architecture based on an improved principal component analysis (PCA) method called Composite PCA suitable for real-time face recogniti...
Abstract— Robot vision systems notoriously require large computing capabilities, rarely available on physical devices. Robots have limited embedded hardware, and almost all senso...
Roberto Pirrone, Giuseppe Careri, F. Saverio Fabia...