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- 1Birkbeck, Neil Aylon Charles
- 1Chen, Xida
- 1Eliuk, Steven N
- 1Karimipour, Hadis
- 1Saini, Amritpal S
- 1Zhao, Cailu
Given a set of images from the same viewpoint, in which occlusions are present, background estimation is to output an image with stationary objects in the scene only. Background estimation is an important step in many computer vision problems such as object detection and recognition. With the...
Computers have been used in diagnostic imaging for decades, but High-Performance Computing (HPC) in diagnostic imaging is rather rare because of the high cost associated with traditional HPC. Recent advancements in shared memory computers and the large market for commodity graphic cards have...
Photo-realistic renderings of humans are required for real-time graphics applications, and accurate human models are useful in applications such as model-based tracking. Non-rigid deformations of humans, e.g., deforming cloth and muscle bulging, are hard to model geometrically and are inefficient...
Physical simulations are in general very computationally intensive and required large and costly computing resources. Most of those simulations are rarely interactive as the link between visualization, interaction, and simulation is too slow. The recent development of parallel Graphic Processing...
Growing system size and complexity along with the large amount of data provided by phasor measurement units (PMUs) are the drivers for accurate state estimation algorithms for online monitoring and operation of power grids. State estimation is the process of estimating unknown state variables in...
Parallel Electromagnetic Transient Simulation of Large-Scale Power Systems on Massive-threading HardwareDownload
Electromagnetic transient (EMT) simulation is widely utilized in power system planning and design. Respecting the detail and complexity of the components models, the electromagnetic transient program (EMTP) demands significant computational power. Increasing with the scale of the system, this...
There is considerable research work going on segmentation of RGB-D clouds due its applications in tasks like scene understanding, robotics etc. The availability of inexpensive and easy to use RGB-D cameras and computational capabilities of GPUs has lead to development of numerous applications in...