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Becoming development trend of GIS, three-dimensional visualization makes the amount of spatial data grown inevitably. Therefore, the study on storage and management of massive three-dimensional geospatial data is necessary and significant. The C/S framework, which consists of massive three-dimensional geospatial database for server and a large number of low-profile PC for clients, has become a basic...
Our aim was to investigate the registration and fusion of models reconstructed from multimodal craniocerebral sectional images, providing basis of craniocerebral structure visualization for surgical navigation. The craniocerebral dataset from different modalities were obtained and constructed. For segmentation, “training area” and “threshold” methods were performed for white matter in MRI coronary...
General object detection still remains a big challenge for vision researchers. In this paper, we are particularly interested in the subject of object detection in the context of street scene. Our image database consists of video frames taken from urban street which tends to be crowded and presents a lot of artificial objects. Traditional street scene understanding methods often involve 3D reconstruction...
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