Over the past few decades, interest in theories and algorithms for face recognition has been
growing rapidly. Video surveillance, criminal identification, building access control, and …

Optical processing of images has received much attention recently. Experimental
breakthroughs have been achieved mainly by studying correlation applications for …

In the last two decades, face recognition has become an interesting area of research. The
purpose of this project is to establish a comparative study of many face recognition …

This paper presents an algorithm/architecture and Hardware/Software co-designs for
implementing a digital edge computing layer on a Zynq platform in the context of the Internet …

In this study we present a novel approach for road mark detection and recognition based on
the commercial VIAPIX® module. The proposed approach combines two different …

We present a three-step approach based on the commercial VIAPIX® module for road traffic
sign recognition and identification. Firstly, detection in a scene of all objects having …

The purpose of this paper is to test correlation methods for pattern recognition applications.
A broad overview of the main correlation architectures is first given. Many correlation data …

In this study, we suggest and validate an all-numerical implementation of a VanderLugt
correlator which is optimized for face recognition applications. The main goal of this …

Precise extraction of road marking features is a critical task for autonomous urban driving,
augmented driver assistance, and robotics technologies. In this study, we consider an …

We report findings on the optimization of the performances of correlation filters. First, we
propound and validate an optimization of ROC curves adapted to correlation technique …