Xueqin Xiang

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In this paper, a global optimum stereo matching algorithm based on improved belief propagation is presented which is demonstrated to generate high quality results while maintaining real-time performance. These results are achieved using a foundation based on the hierarchical belief propagation architecture combined with a novel asymmetric occlusion handling(More)
OBJECTIVES Lutetium-177-labeled ethylenediamine-N,N,N',N'-tetrakis (methylene phosphonic acid) (¹⁷⁷Lu-EDTMP), a beta-emitting bone-seeking therapeutic radiopharmaceutical being assessed as an agent for palliation of bone pain, can emit suitable gamma-photons for scintigraphy. This investigation sought to characterize its optimal conditions for whole-body(More)
Inter-cell interference (ICI) problem is the key issue in broadband wireless access (BWA) systems, and it has been given significant attentions over the years. In order to solve the problem, several resource reuse schemes applying restrictions to the downlink resource management are evaluated in this paper. The goal of ICI mitigation schemes is to decrease(More)
Current active 3D range sensors, such as time-of-flight cameras, enable acquiring of range maps at video frame rate. Unfortunately, the resolution of the range maps is quite limited and the captured data are typically contaminated by noise. We therefore present a simple pipeline to enhance the quality as well as improve the spatial and depth resolution of(More)
Capturing realistic 3D shapes of human bodies is very useful for many computer graphics applications. However, for existing 3D shape capturing devices, such as structured light, laser scanner or multi-view methods, problems arise when dealing with 3D hairstyle scanning and body deformation. To solve these problems, a novel approach is proposed to scan 3D(More)
Recent years have witnessed a growing interesting in developing automatic palmprint recognition methods. Most of the previous works have concentrated on two dimensional (2D) palmprint recognition in the past decade. However, the shape information is lost in 2D plamprint images. What’s more, 2D plamprint recognition is not robust enough in practice since its(More)
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