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Deep Learning for 3D Image and Point Sensors

This special issue belongs to the section “Sensing and Imaging“.

Special Issue Information

Dear Colleagues,

This Special Issue seeks submissions that use 3D sensor technologies in combination with AI algorithms (e.g., deep learning) to solve problems in visual analysis. Sensor technologies of interest include RGBD sensors, LiDaR sensors and 2D image sensors from which 3D information is to be extracted (e.g., structure-from-motion (SfM)).

Potential submission topics include: deep learning architectures for 3D AI, neuromorphic architectures for 3D AI, 3D pose recognition, 3D trajectory estimation, 3D object recognition, 3D surface reconstruction, sensor data compression, 3D object completion, 3D from single images, 3D scene analysis, 3D datasets for AI, and explainable AI for 3D inference.

While this Special Issue places emphasis on deep learning methods, applications of deep learning systems and novel integrations of deep learning systems as system-level AI solutions for complex problems are also relevant.

Dr. Andrew R. Willis
Dr. Hamed Tabkhi
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • RGBD sensors
  • point cloud

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Sensors - ISSN 1424-8220