Quang H. Nguyen

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This paper proposes a new 3D propagation algorithm for the depth image-based rendering problem with multiple color and range cameras at arbitrary positions. The proposed algorithm efficiently renders novel images at arbitrary virtual views by propagating all available depth information from range cameras to color cameras, and then all available depth and(More)
The National Academy of Engineering recently identified 14 grand challenges for engineering in the 21st century (www.engineeringchallenges. org). We believe that the continuing advances in ubiquitous sensing, processing, and computing provide the potential to tackle two of these 14 grand challenges: specifically, enhancing virtual reality and advancing(More)
In this article, we focus on the applicability of parallel computing architectures to video processing applications. We demonstrate different optimization strategies in detail using the 3-D convolution problem as an example, and show how they affect performance on both many-core CPUs and symmetric multiprocessor CPUs. Applying these strategies to case(More)
This paper proposes a new approach for depth image-based rendering (DIBR) with low resolution depth using the 3D propagation algorithm. Our novel depth edge enhancement method efficiently corrects and sharpens the depth edges in the propagated depth image using available high resolution color information. Experimental results show that only with 4% depth(More)
The explosive growth of digital video content from commodity devices and on the Internet has precipitated a renewed interest in video processing technology, which broadly encompasses the compression, enhancement, analysis, and synthesis of digital video. Video processing is computationally intensive and often has accompanying real-time or super-real-time(More)
In this paper, we investigate the mutual coupling effects between complex wall structures and the target for through-the-wall imaging applications. We propose a hybrid technique, which is more efficient in terms of computational resource requirements than the full-wave numerical solutions, i.e., FDTD, MoM, to model the scene.
Automatic detection of human motion is important for security and surveillance applications. Compared to other sensors, radar sensors present advantages for human motion detection and identification because of their all-weather and day-and-night capabilities, as well as the fact that they detect targets at a long range. This is particularly advantageous in(More)
This paper reports on the design and fabrication of a z-axis tuning fork gyroscope which has a freestanding architecture. In order to improve the performance of the tuning fork gyroscope by eliminating the influence of the squeeze-film air damping, the driving and sensing parts of the gyroscope were designed to oscillate in-plane. Furthermore, by removing(More)
In this paper, the non-invasive detection of human respiratory rate and heart beat using a stepped-frequency continuous wave (SFCW) radar is addressed through the hybrid approach and Fourier analysis framework. A hybrid approach for inhomogeneous object is employed to calculate the received fields from human torso including the rib cage and the heart. Then(More)
BACKGROUND Kinesin spindle protein (KSP) plays a critical role in mitosis. Inhibition of KSP function leads to cell cycle arrest at mitosis and ultimately to cell death. The aim of this study was to suppress KSP expression by specific small-interfering RNA (siRNA) in Hep3B cells and evaluate its anti-tumor activity. METHODS Three siRNA targeting KSP(More)