Abstract | ||
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This paper introduces a hybrid method that combines two 3-D imaging methods of very different nature but complementary. On the one hand, a depth camera, also known as RGB-D camera, is used in order to obtain a 3-D scan of the target under test. On the other hand, a synthetic aperture radar at millimeter-wave frequency band is used to exploit the penetration capabilities of these waves, allowing electromagnetic imaging. As a result, the system can provide two complementary and aligned 3-D models. In contrast to the previous work, in which the position estimation and the external 3-D model relied on conventional optical cameras, this setup can construct the model even in the case of flat textures as it does not resort to color information at any stage. Several examples, in which the millimeter-wave scanner is validated by raster scan, are presented for people screening revealing the validity of the approach. |
Year | DOI | Venue |
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2018 | 10.1109/ACCESS.2018.2816466 | IEEE ACCESS |
Keywords | Field | DocType |
Millimeter-wave imaging,portable camera,multiview imaging,depth camera,structured light,synthetic aperture radar | Computer vision,Computer science,Frequency band,Synthetic aperture radar,Exploit,Raster scan,Scanner,Artificial intelligence,Solid modeling,RGB color model,Distributed computing,Adaptive optics | Journal |
Volume | ISSN | Citations |
6 | 2169-3536 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Jaime Laviada | 1 | 8 | 4.18 |
Miguel LóPez-PortuguéS | 2 | 19 | 3.93 |
Ana Arboleya | 3 | 1 | 0.71 |
Fernando Las-Heras Andres | 4 | 20 | 9.79 |