Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6923616 | Computers in Industry | 2018 | 17 Pages |
Abstract
In order to illustrate the proposed work, a case study was conducted on the challenging research question of object recognition in heterogeneous formats (3D models, photos and videos) with deep learning techniques. The DICE project - DMU Imagery Comparison Engine - is presented and has been completely open-sourced in order to encourage reuse and improvements of the proposed case-study. This project also leads to the development of an open-source research dataset of 2000 CAD Models, called DMU-Net available at: https://www.dmu-net.org.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science Applications
Authors
Jonathan Dekhtiar, Alexandre Durupt, Matthieu Bricogne, Benoit Eynard, Harvey Rowson, Dimitris Kiritsis,