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In this paper we discuss computational issues related to optimal sensor placement in numerical weather prediction (NWP). Specifically we will discuss the application of observability as a metric for sensor placement to an atmospheric flow model and the arising optimization problem. Atmospheric data assimilation is the process of estimating the initial system state based on observations needed in NWP...
Images/videos of outdoor scenes are usually degraded by the turbid medium in the atmosphere. In this paper, a novel single image-based dehazing framework is proposed to remove haze effects from image/video, where we propose two novel image priors, called the pixel-based dark channel prior and the pixel-based bright channel prior. Based on the two priors with the haze imaging model, we propose to accurately...
In applications of the computer vision field, a vision system is usually composed of several low level and high level components, stacked on top of each other. A better design of the lower level components usually results in better accuracy of higher level functions, such as object tracking, face recognition, and surveillance. In this paper, we focus on the low level component design, background construction,...
Background construction is the base of object detection and tracking for the machine vision system. Traditional background modeling methods often require complicated computations and are sensitive to illumination changes and shadow interference. In this paper, we propose a block-based background modeling method, which fully utilizes the color and texture characteristics of each incoming frame. The...
This paper describes a method of building a medical ontology prototype in Chinese. During the procedure, we explored the following questions, which are crucial for the task of ontology engineering: (1) are there some more computer-understandable knowledge description models? We proposed a structural and fine-grained knowledge description model called concept-based description model (CBD) to describe...
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