The recent advancement in the field of electronics has led to development of sensors that
capture the image of an area or object in spectral-domain along with spatial information …

Electromagnetic transients (EMT) simulation is the most accurate and intensive computation
for power systems. Past research has shown the potential of accelerating such simulations …

Herein, a parallel implementation in OpenMP of the Image Block Representation (IBR) for
binary imagesis investigated. The IBR is a region-based image representation scheme that …

The real-time capability of multi-camera visual simultaneous localization and mapping
(SLAM) in embedded systems is vital for robotic autonomous navigation. However, owing to …

This paper proposes an indirect visual simultaneous localization and mapping (V-SLAM) for
large-scale outdoor environments based on linear models. With the scale-invariant feature …

The sparse triangular solver (SpTRSV) is one of the most essential kernels in many scientific
and engineering applications. Efficiently parallelizing the SpTRSV on modern many-core …

Spatiotemporal feature extraction algorithms are widely used in many image processing and
computer vision applications. They are favored because of their robust generated features …

In response to the challenges posed by insufficient real-time performance and suboptimal
matching accuracy of traditional feature matching algorithms within automotive panoramic …

Herein, a parallel implementation of Discrete Orthogonal moments on block represented
images is investigated. Moments and moment functions have been used widely as features …

Stereo correspondence is one of the most important steps in binocular stereovision. It
consists feature point extraction and image matching. In order to solve the problems of bad …