Skinscan: 3D Dermatologic Diagnosis and Documentation with Commodity Devices-Reference-Cited by-同舟云学术

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Skinscan: 3D Dermatologic Diagnosis and Documentation with Commodity Devices

Published:2021-10-31 Issue: Volume: Page:
ISSN:
Container-title:2021 55th Asilomar Conference on Signals, Systems, and Computers
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Author:

Nau Merlin A.¹,Schiffers Florian¹,Li Yunhao¹,Xu Bingjie¹,Maier Andreas²,Tumblin Jack¹,Walton Marc³,Katsaggelos Aggelos K.¹,Willomitzer Florian⁴,Cossairt Oliver¹

Affiliation:

1. Northwestern University,Department of Computer Science,Evanston,USA

2. Friedrich-Alexander-Universität Erlangen-Nürnberg,Pattern Recognition Lab,Germany

3. Northwestern University,Center for Scientific Studies in the Arts,Evanston,USA

4. Northwestern University,Department of Electrical and Computer Engineering,Evanston,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9723034/9723086/09723389.pdf?arnumber=9723389

Reference20 articles.

1. Structure-from-Motion Revisited

2. Deep convolutional neural fields for depth estimation from a single image

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

4. In vivo measurement of skin microrelief using photometric stereo in the presence of interreflections

5. Rapid acquisition of specular and diffuse normal maps from polarized spherical gradient illumination;ma;Rendering Techniques,2007

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