Mathematical Problems in Engineering · 2018 · 20 citations · 16 references
ComputingComputational EngineeringMedical VisualizationScientific VisualizationVolume Visualization3D Imaging3D ReconstructionPoint Cloud ProcessingThree-dimensional ReconstructionVolume SegmentationVolumetric VisualizationBinary SegmentationPoint Cloud ReconstructionPoint Cloud SegmentationThree-dimensional Image Reconstruction
We propose an explicit hybrid numerical method for the efficient 3D volume reconstruction from unorganized point clouds using a phase-field method. The proposed three-dimensional volume reconstruction algorithm is based on the 3D binary image segmentation method. First, we define a narrow band domain embedding the unorganized point cloud and an edge indicating function. Second, we define a good initial phase-field function which speeds up the computation significantly. Third, we use a recently developed explicit hybrid numerical method for solving the three-dimensional image segmentation model to obtain efficient volume reconstruction from point cloud data. In order to demonstrate the practical applicability of the proposed method, we perform various numerical experiments.
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Tony F. Chan, Luminita A. Vese · IEEE Transactions on Image Processing · 2001 · 10.3K citations
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A geometric model for active contours in image processing
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