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

Image processing technology has grown significantly over the past decade. Its application
on low-power mobile devices has been the interest of a wide research group related to …

Emerging mobile applications, such as augmented reality, demand robust feature detection
at high frame rates. We present an implementation of the popular Scale-Invariant Feature …

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 …

Intelligent transportation system needs to solve the main problems in traffic safety. This
paper focuses on the traffic safety caused by fatigue driving based on image recognition of …

Local binary pattern (LBP) is a texture operator that is used in several different computer
vision applications requiring, in many cases, real-time operation in multiple computing …

An observation in supercomputing in the past decade illustrates the transition of pervasive
commodity products being integrated with the world's fastest system. Given today's …

Deep convolutional neural networks achieve state-of-the-art performance in image
classification. The computational and memory requirements of such networks are however …

Many visual tasks in modern personal devices such smartphones resort heavily to graphics
processing units (GPUs) for their fluent user experiences. Because most GPUs for …

This paper introduces a parallel processing scheme using CPU and GPU for the mobile
Augmented Reality applications. Most of AR applications have to perform intensive image …