Publikation
Trained 3D Models for CNN based Object Recognition
Kripasindhu Sarkar; Kiran Varanasi; Didier Stricker
In: Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP, (VISIGRAPP 2017). International Conference on Computer Vision Theory and Applications (VISAPP-17), Pages 130-137, Vol. 5, ISBN 978-989-758-226-4, SciTePress, 2017.
Zusammenfassung
We present a method for 3D object recognition in 2D images which uses 3D models as the only source of the training data. Our method is particularly useful when a 3D CAD object or a scan needs to be identified in a catalogue form a given query image; where we significantly cut down the overhead of manual labeling. We take virtual snapshots of the available 3D models by a computer graphics pipeline and fine-tune existing pretrained CNN models for our object categories. Experiments show that our method performs better than the existing local-feature based recognition system in terms of recognition recall.