3D skin surface reconstruction from a single image by merging global curvature and local texture using the guided filtering for 3D haptic palpation

2018 ◽  
Vol 24 (4) ◽  
pp. 672-685 ◽  
Author(s):  
K. Lee ◽  
M. Kim ◽  
K. Kim
Keyword(s):  
Surface Reconstruction ◽  
Skin Surface ◽  
Single Image ◽  
Local Texture ◽  
Guided Filtering ◽  
Global Curvature ◽  
3D Skin

Thickness Characterization of 3D Skin Surface Images Using Reference Line Construction Approach

2009 ◽  
pp. 448-454 ◽  
Author(s):  
M. H. Ahmad Fadzil ◽  
Hurriyatul Fitriyah ◽  
Esa Prakasa ◽  
Hermawan Nugroho ◽  
S. H. Hussein ◽  
...  
Keyword(s):  
Skin Surface ◽  
Reference Line ◽  
Line Construction ◽  
3D Skin ◽  
Surface Images

Volume assessment of various wound attributes models using 3D skin surface imaging

2012 ◽  
Author(s):  
K. K. Chong ◽  
A. F. M. Hani ◽  
A. M. Abdul-Rani ◽  
F. B. B. Yap ◽  
A. Jamil
Keyword(s):  
Skin Surface ◽  
Surface Imaging ◽  
Volume Assessment ◽  
3D Skin

Mirror Surface Reconstruction from a Single Image

2015 ◽  
Vol 37 (4) ◽  
pp. 760-773 ◽  
Author(s):  
Miaomiao Liu ◽  
Richard Hartley ◽  
Mathieu Salzmann
Keyword(s):  
Surface Reconstruction ◽  
Mirror Surface ◽  
Single Image

Lesion classification using 3D skin surface tilt orientation

2012 ◽  
Vol 19 (1) ◽  
pp. e305-e311 ◽  
Author(s):  
Zhishun She ◽  
P. S. Excell
Keyword(s):  
Skin Surface ◽  
3D Skin ◽  
Lesion Classification

scholarly journals The Reconstruction of the Object Surface using Confocal Microscope with Hyperchromatic Lens

MENDEL ◽  
2018 ◽  
Vol 24 (1) ◽  
pp. 129-134
Author(s):  
Pavel Starha ◽  
Jana Prochazkova ◽  
Dalibor Martisek
Keyword(s):  
Nonlinear Optimization ◽  
Surface Reconstruction ◽  
Light Microscope ◽  
Confocal Microscope ◽  
Single Image ◽  
Object Surface ◽  
Reflected Light

The usage of a tandem-scanning reflected-light microscope is not common but this technology offers the wide possibilities in the area of the surface reconstruction. This article presents a method that can reconstruct the 3D relief from a single image with a known calibrated set of images. The method uses the property that the points in the same height are visualized in the same color and we propose the nonlinear optimization to find this dependence. Subsequently, the low brightness parts are added by circular partial convolution.

Single-image dehazing based on dark channel prior and fast weighted guided filtering

2021 ◽  
Vol 30 (02) ◽  
Author(s):  
Fuxin Sun ◽  
Shufeng Wang ◽  
Gang Zhao ◽  
Manxiang Chen
Keyword(s):  
Dark Channel Prior ◽  
Single Image ◽  
Image Dehazing ◽  
Dark Channel ◽  
Guided Filtering ◽  
Single Image Dehazing
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