![](/images/graphics-bg.png)
A Novel Medical Freehand Sketch 3D Model Retrieval Method by Dimensionality Reduction and Feature Vector Transformation
Joint Authors
Source
Computational and Mathematical Methods in Medicine
Issue
Vol. 2016, Issue 2016 (31 Dec. 2016), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-05-17
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
To assist physicians to quickly find the required 3D model from the mass medical model, we propose a novel retrieval method, called DRFVT, which combines the characteristics of dimensionality reduction (DR) and feature vector transformation (FVT) method.
The DR method reduces the dimensionality of feature vector; only the top M low frequency Discrete Fourier Transform coefficients are retained.
The FVT method does the transformation of the original feature vector and generates a new feature vector to solve the problem of noise sensitivity.
The experiment results demonstrate that the DRFVT method achieves more effective and efficient retrieval results than other proposed methods.
American Psychological Association (APA)
Jing, Zhang& Sheng, Kang Bao. 2016. A Novel Medical Freehand Sketch 3D Model Retrieval Method by Dimensionality Reduction and Feature Vector Transformation. Computational and Mathematical Methods in Medicine،Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1100138
Modern Language Association (MLA)
Jing, Zhang& Sheng, Kang Bao. A Novel Medical Freehand Sketch 3D Model Retrieval Method by Dimensionality Reduction and Feature Vector Transformation. Computational and Mathematical Methods in Medicine No. 2016 (2016), pp.1-11.
https://search.emarefa.net/detail/BIM-1100138
American Medical Association (AMA)
Jing, Zhang& Sheng, Kang Bao. A Novel Medical Freehand Sketch 3D Model Retrieval Method by Dimensionality Reduction and Feature Vector Transformation. Computational and Mathematical Methods in Medicine. 2016. Vol. 2016, no. 2016, pp.1-11.
https://search.emarefa.net/detail/BIM-1100138
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1100138