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Diffuse Optical Tomography (DOT) has become an emerging non-invasive technology, and has been widely used in clinical diagnosis. Functional near-infrared (FNIR) is one of the important applications of DOT. However, FNIR is used to reconstruct two-dimensional (2D) images for the sake of good spatial and temporal resolution. In this paper we propose a multiple-input and multiple-output (MIMO) based...
Target detection is an important problem in wireless sensor networks where a number of sensors form a network to detect the presence or absence of a certain target or event. Data fusion is a potential method broadly used to improve detection performance when the sampling data are noisy. However, low detection probability cannot be avoided if detection decisions are made based on a collection of sampling...
In recent years, many studies of 2-D oxygen saturation distribution reconstruction have provided easy access to human brain activity regions. However, only a few research focus on the home health care system using this technique. In this paper, we proposed a portable, low cost and real-time distribution reconstruction system of oxygen saturation in 2-D to make diagnosis at home possible. The system...
Photogrammetric context captures the relationship between object heights and camera viewpoint, and can be used to reject false detections that appear in wrong locations or scales. In this work, we address the problem of using photogram-metric constraints in object detection when camera poses are unknown. We propose a model to capture both local appearance features and global photogrammetric context,...
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