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3D shape reconstruction of the liver from its 2D cross-sections improves the surgeon's knowledge of liver anatomy and makes even more complicated liver surgery safe, which can be employed to aid clinical practice as an alternative tool. In this paper, a new method for 3D reconstruction of liver is proposed. It mainly consists of three steps: liver auto-segmentation, surface reconstruction and surface...
Segmentation and grouping of image elements is required to proceed with image recognition. Due to the fact that the images are two dimensional (2D) representations of the real three dimensional (3D) scenes, the information of the third dimension, like geometrical relations between the objects that are important for reasonable segmentation and grouping, are lost in 2D image representations. Computer...
In this work, a modified Fourier Transform Profilometry method, together with the region post-processing (where the object to digitize is located) is used as a 3D reconstruction system for solid objects. By projecting a sinusoidal fringe pattern with a known spatial frequency on the object, a vision system is capable of infer the object's depth information. First, the fringe pattern is projected on...
Detailed geometric modeling from images is very important but extremely complex and computationally expensive. In this paper we present an algorithm for large-scale urban terrestrial geometric modeling from videos. In the proposed approach, we classify and segment the contents of images based on the knowledge about the scene. Then the segments of each image are aligned to similar segments of the consecutive...
Determining the relationship between the dendritic spine morphology and its functional properties is a fundamental while challenging problem in neurobiology research. In particular, how to accurately and automatically analyze meaningful structural information from a large microscopy image dataset is far away from being resolved. In this paper, we propose a novel method for the automated neuron reconstruction...
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