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In this paper, we proposed a novel left ventricular volumes prediction method. This method is a cascade architecture which is based on multi-scale LV atlas location and deep convolutional neural networks (CNN). Firstly, we adopted LV atlas mapping method to achieve accurate location of LV region in cardiac magnetic resonance (CMR) images. And then, the CNN were used to train an end-to-end LV volumes...
Stereo matching is a challenging issue in multicamera scene reconstruction, and recently many methods have been proposed in different contexts. This paper presents a template based stereo matching algorithm using graph-cut. First, a set of non-overlapping templates are derived from the reference image (left or right image) to represent the scene structure. Each template is assigned to a corresponding...
Accurate stripe boundary location is crucial for stripe coded structured light based 3D reconstruction. Intersecting point method might be the most accurate for stripe boundary location. But this method requires project a group of normal and a group of inverse patterns, and thus can not be used in some time- or resource-constrained applications. In this paper, we propose an improved sub-pixel location...
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