High resolution imagery from synthetic aperture radar (SAR) video data requires numerical computations of the order of gigaflops (GFLOP). The computational burden increases with the image size and the amount of input raw video signals. General purpose graphic processor units (GPGPU) can play a pivotal role in parallel processing the raw video data to generate SAR imagery in a much faster proces...

This article introduces a parallel neural network approach implemented over Graphic Processing Units (GPU) to solve a facial recognition problem, which consists in deciding where the face of a person in a certain image is pointing. The proposed method uses the parallel capabilities of GPU in order to train and evaluate a neural network used to solve the abovementioned problem. The experimental ...

SAR simulators are important for a huge variety of applications. Realistic SAR simulations need realistic 3D models, which are often not available. Less realistic models can be used in the less accurate real-time simulation approach. Using modern graphic cards for SAR simulation even complex environments can be simulated in real-time. This is realised by implementing of SAR geometry and radiome...

In the computer aided medical image process, image segmentation is always required as a preprocess stage. Fuzzy c-means (FCM) clustering algorithm has been commonly used in many medical image segmentations, particularly in the analysis of magnetic resonance (MR) brain image. However, all of these FCM methods are computation consuming that is difficult to be used in real time application. In the...

Set similarity join is a core operation for text data integration, cleaning, and mining. Previous research work on improving the performance of set similarity joins mostly focused on sequential, CPU-based algorithms. Main optimizations of such algorithms exploit high threshold values and the underlying data characteristics to derive efficient filters. In this paper, we investigate strategies to...

More data fidelity terms in variational optical flow methods improve the estimation’s robustness. A robust and anisotropic smoother enhances the specific fill-in process. This work presents a combined local-global (CLG) approach with total variation regularization. The combination of bilateral filtering and anisotropic (image driven) regularization is used to control the propagation phenomena. ...

Many standard cryptographic functions are designed to benefit from hardware specific implementations. As a result, there have been a large number of highly efficient ASIC and FPGA hardware based implementations of standard cryptographic functions. Previously, hardware accelerated devices were only available to a limited set of users. General Purpose Graphic Processing Units (GPGPUs) have become...

The purpose of this publication is to present a graphic 3D modeler with interactive interaction capabilities operating in real time. It may be used on both in Unix workstations and PCs. The modeler can be used to make and edit 3D reconstruction of articulated objects, a facility that is particularly useful in processing medical images generated by a CT scanner or magnetic resonance units. The m...

Stereo correspondence is a computationally intensive procedure, real-time depth map generation for high resolution video is beyond the capability of mainstream CPUs available today. Similar to many other vision algorithms, there is a high degree of parallelism available in most of the correspondence algorithms, making multiprocessor architectures as an obvious choice. Here we describe the imple...

We present algorithms for parallel probabilistic model checking on general purpose graphic processing units (GPGPUs). For this purpose we exploit the fact that some of the basic algorithms for probabilistic model checking rely on matrix vector multiplication. Since this kind of linear algebraic operations are implemented very efficiently on GPGPUs, the new parallel algorithms can achieve consid...