The memory coherence problem in designing and implementing a shared virtual memory on
loosely coupled multiprocessors is studied in depth. Two classes of algorithms, centralized …

The recent developments of Augmented Reality (AR) have revolutionised various industries,
including the heritage industry. Cultural organisations are embracing AR applications to …

Over the past two decades, the use of low power Field Programmable Gate Arrays (FPGA)
for the acceleration of various vision systems mainly on embedded devices have become …

Recently, general-purpose computing on graphics processing units (GPGPU) has been
enabled on mobile devices thanks to the emerging heterogeneous programming models …

Environmental fingerprinting has been proposed as a key enabler to immersive, highly
contextualized mobile computing applications, especially augmented reality. While …

This paper proposes a parallel hardware architecture for real-time image classification
based on scale-invariant feature transform (SIFT), bag of features (BoFs), and support vector …

A lot of effort from academia and industry has been invested in exploring the suitability of low-
power embedded technologies for HPC. Although state-of-the-art embedded systems-on …

Significantly improved performance of the various learning algorithms has revived the
interest in computer vision for recognition applications during the current decade. This paper …

Feature detection and extraction are essential in computer vision applications such as
image matching and object recognition. The Scale-Invariant Feature Transform (SIFT) …

In this paper, we introduce a novel computer vision-based perception system, dedicated to
the autonomous navigation of visually impaired people. A first feature concerns the real-time …