Object oriented framework for CUDA based image processing

Shete, Pritam Prakash; Venkat, P P K; Sarode, Dinesh M.; Laghate, Mohini; Bose, Surojit Kumar; Mundada, R. S.

doi:10.1109/iccict.2012.6398223

Cited by 8 publications

(1 citation statement)

References 6 publications

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“…When kernel functions run N times, they work in parallel on N channels. This property of kernel separates from familiar C functions [15], [16]. The primary parallel construct is a data-parallel, SPMD kernel function.…”

Section: Parallel Implementationmentioning

confidence: 99%

Effective Gaussian Blurring Process on Graphics Processing Unit with CUDA

Bozkurt¹,

Yağanoğlu²,

Günay³

2015

IJMLC

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Abstract-Single threaded applications cannot catch up with parallel systems when it comes to scalability mainly because of the clock frequency limitation of modern CPUs and economical reasons. Using shared memory or distributed memory architectures parallel systems can provide tremendous speed up compared to single threaded systems. CUDA, a shared memory parallel software, is considered to be a powerful language because of its easy thread management aspect and support for GPUs. Gauss blurring is a well-known image processing technique which reduces image noise and detail. Because of the high computation requirement of this technique, single threaded applications exhibit poor performance. In this paper we show that orders of magnitude speed up can be achieved by carrying out this operation on CUDA architecture with the help of high parallelism.

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Section: Parallel Implementationmentioning

confidence: 99%

Effective Gaussian Blurring Process on Graphics Processing Unit with CUDA

Bozkurt¹,

Yağanoğlu²,

Günay³

2015

IJMLC

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A real-time stereoscopic viewer for telerobotics using open source software

Shete

Sarode

Bose

2013

2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI)

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Robots are deployed to perform repeatable as well as hazardous tasks because of their inherent safety, reliability, consistency and accuracy. Recently robots are manipulated remotely using the binocular stereo vision. In this paper, we propose and implement a real-time stereoscopic viewer for telerobotics using open source software. We manipulate the KUKA KR-6 robot remotely using the Phantom haptic device. We assemble our stereo camera using a pair of IP cameras. We make use of the GStreamer multimedia framework for capturing and processing image streams coming from these IP cameras. We utilize the OpenCV library for camera calibration, stereo calibration and real-time stereo rectification. We extend predefined widgets from the Qt framework with our own widgets for the OpenGL based Quad buffering. We apply the software engineering design patterns for development of our in-house stereoscopic viewer. We also discuss the stereo vision using the DLP Link, the NVIDIA 3D Vision and the NVIDIA 3D Vision Pro with their pros and cons.

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