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The same as in traditional surgery, surgeons in telerobotic surgery need extensive training to achieve experience and highly accurate instrument manipulation. Traditional training methods like practice in operating room have major drawbacks such as high risk and limited opportunity for which virtual reality (VR) and computer technologies can offer solutions. To accelerate the data transmission speed...
In this paper, we propose a novel algorithm for image retargeting based on adaptive scaling methods. Our algorithm starts by adaptively partitioning the input image into number of strips according to the combined saliency map, which contains both gradient information and visual saliency to measure significant regions and is also used to guide the sampling process when scaling image strips. Experimental...
In an identity-based encryption (IBE) system, a private-key generator (PKG) is assumed to be credible, which takes charge of identity authentication and private-key issuing for users. However, the reliability of IBE may be questioned since this assumption does not always hold. In this paper, we propose a new distributed private-key generation scheme with self-certified identity (SCI-DKG) which does...
Over the past years, location-based routing protocols have been studied extensively in mobile ad hoc networks (MANETs). However, how to efficiently provide the location information for nodes is still a challenge. So far, many protocols have been proposed to solve this problem, most of which offer exact routing location information, and are complicated to implement in practice. In this paper, we propose...
In this paper, we present a novel parallel implementation of HARRIS and DOG detector on GPU for feature extractions of Patch-based Multi-View Stereo (PMVS) algorithm in image sequence. With the Compute Unified Device Architecture(CUDA)-enabled GPU, the acceleration is significant and it obtains a 34 times performance boost comparing to a CPU implementation. We adopt the hardware built-in bilinear...
The active shape model (ASM) has been widely used to recognize and track a face from a video sequence. However, it is usually limited to frontal view or the cases of small-scale head movement, as its accuracy may greatly degrade in conditions of quick movement, large rotation and temporary occlusion. We propose an enhanced ASM and predicted mean shift algorithm to meet these challenges, which combines...
In this paper, we propose a GPU-based acceleration method to speed up volume image registration using Compute Unified Device Architecture(CUDA). A novel CUDA-based method for joint histogram computation is introduced in this paper, which is also valuable for 2D image registration and other general graphics applications. Additionally, an algorithm refinement is proposed to improve the widely used FMRIB's...
Vessel segmentation is an essential task in many computer-aided medical systems. However, the topology complexity of vascular structures and the intensity inhomogeneity of angiogram make it a challenging problem. We propose a level set based predictor-corrector algorithm to meet these challenges. In the predictor step, the overall contour of vessel structures is delineated by piecewise constant (PC)...
In this paper, we present a novel parallel implementation of Active Shape Model (ASM) on GPU for massive facial feature extractions in video or image sequence. With the Compute Unified Device Architecture (CUDA)-enabled GPU, the acceleration is significant and reported a 48 times performance boost comparing to a CPU implementation. We adopt the hardware built-in bilinear interpolation of texture to...
Realistic facial animation is important in many graphics applications, like animated feature films and computer games, to enrich human computer interaction. In this paper, we propose a physically-based facial animation approach employing knowledge from the anatomy and biomechanics of human facial muscles. First, the 3D face mesh is generated automatically by commercial software and the facial skin...
In this paper, we apply the compute unified device architecture (CUDA) to the 3D cone-beam CT reconstruction using simultaneous algebraic reconstruction technique (SART). With the hardware acceleration, the computationally complex SART can run at speed comparable to the commonly used filtered back-projection, and provide even better quality volume with less samples. The main contributions include...
Hexagonal grid is a popular and powerful network model in various networks and especially in the mobile ad-hoc networks (MANETs). To the best of our knowledge, however, there is no suitable coordinate system for the hexagonal grids. So it has been a big challenge to solve the node location problem for hexagonal grids in MANETs. In this paper, we propose an intuitive and simple two-dimensional logical...
The development of the first Chinese ElectroMagnetic Human Model (CEMHM) in The Chinese University of Hong Kong is reported. The model can be used in any electromagnetic simulation tools to reveal more accurate and practical biological effect caused by RF radiation of a wireless device. The preliminary numerical study of SAR distribution using the CEMHM is presented. It is found that the maximum SAR...
Multipath routing is one of the most important research directions in the area of network routing. However, it is very difficult to achieve node-disjoint multipath routing in Mobile Ad Hoc NETworks (MANETs), especially in large scale MANETs. We propose a Multiple Zones-based routing protocol (M-Zone for short) to discover node-disjoint routing paths segment-by-segment in large scale MANETs effectively...
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