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Surface Reconstruction from Stereovision Data Using a 3-D MRF of Discrete Object Models.

, и . ICPR (1), стр. 27-30. IEEE Computer Society, (2006)

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Chieko Takizawa

 

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Recognition of lung nodules from X-ray CT images using 3D MRF models., , , , , и . CARS, том 1230 из International Congress Series, стр. 605-614. Elsevier, (2001)Lung nodules recognition in chest X-ray CT images using subspace method., , , , , , и . CARS, том 1256 из International Congress Series, стр. 1390. Elsevier, (2003)Accuracy Improvement of Lung Cancer Detection Based on Spatial Statistical Analysis of Thoracic CT Scans., , и . MIRAGE, том 4418 из Lecture Notes in Computer Science, стр. 607-617. Springer, (2007)Recognition of Lung Nodules from X-ray CT Images Using 3D Markov Random Field Models., , , , , и . ICPR (1), стр. 99-102. IEEE Computer Society, (2002)A Spot Navigation System for the Visually Impaired by Use of SIFT-Based Image Matching., , , , и . HCI (10), том 9178 из Lecture Notes in Computer Science, стр. 160-167. Springer, (2015)3-D Shape Reconstruction from Stereovision Data Using Object-Consisted Markov Random Field Model.. ICONIP (2), том 4985 из Lecture Notes in Computer Science, стр. 618-627. Springer, (2007)Construction Method of Three-Dimensional Deformable Template Models for Tree-Shaped Organs., и . IEICE Trans. Inf. Syst., 89-D (1): 326-331 (2006)Kinect cane: An assistive system for the visually impaired based on three-dimensional object recognition., , , , и . SII, стр. 740-745. IEEE, (2012)Eigen Nodule: View-Based Recognition of Lung Nodule in Chest X-ray CT Images Using Subspace Method., , , , , , , и . ICPR (4), стр. 681-684. IEEE Computer Society, (2004)Obstacle detection by the Kinect cane system for the visually impaired., , , , и . SII, стр. 115-118. IEEE, (2013)