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The Computed Tomography (CT) is a imaging method based on X-rays to obtain cross-sectional images from an object. It is a widely used method in several areas, such as medicine, archeology or material sciences. Tomographic reconstruction techniques, use the projections of images from multiple directions. There are several algorithms for this purpose but can be classified according to their reconstruction...
It makes the haze removal in real-time by CUDA based on the atmospheric scattering model and temporal coherence algorithm. Firstly, a hierarchical search method based on four fork tree subdivision replaced the original algorithm to obtain the atmospheric light, and put the number of pixels as the number of parallel threads, which processes the required calculation of pixels, the intermediate results...
The development of high resolution digital cameras for recording of still images and video streams has had a momentous influence on how communication and entertainment have developed during the recent years. Processing of human faces discovers many applications in various domains like law enforcement, security surveillance etc. A standard face processing system consists of face detection, face recognition,...
OpenCV applications are computationally intensive tasks among computer vision algorithms. The demand for low power yet high performance real-time processing of OpenCV embedded vision applications have led to developing their customized implementations on state-of-the-art embedded processing platforms. Given the industry move to heterogeneous platforms which integrates single core or multicore CPU...
Face detection is a stepping stone to all facial processing systems such as face recognition with the task of determining face region from the input frame for applications like surveillance and law enforcement. However, face detection is a computational expensive process and thus, with acceleration it can influence the performance of the system. The latest Graphics Processing Unit (GPU) technology...
Since video monitoring cameras now are implemented widely, video analytics has drawn much attention as a new research area. Correspondingly, there is an emerging need to detect faces through a period of video or a great number of videos to make comparisons with the stored identities in the database for personal identification or other purposes. Thus, face detection in video has gained great attention...
Image Deblurring algorithms have been evolving over many decades. Although there are many algorithms available today that produce reasonably good results, their speed of execution make them less appealing for many real time applications. Thus we address this issue by improving speed of execution of an existing algorithm using parallelization and other optimizations. The algorithm we selected was published...
Stereo vision systems are essential for the 3D object reconstruction, industrial automation, telerobotics and many more. Stereo rectification process aligns the left and the right images such that their respective image rows are accurately aligned with each other. In this paper, we propose and implement a real-time stereo rectification of the high definition stereo image stream coming from the IP...
This article describes parallel algorithm of face detection on images for GPU architecture. This algorithm is an extension of an algorithm from OpenCV library. A computational structure is presented for the developed algorithm. Also, scheduling algorithm was developed to balance a workload among GPU's threads.
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