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Lots of things! Since 3D convolutional networks are very limited in their maximum resolution, most of the interesting things you can do involve learning on RGB
by llebttam 9y ago
Lots of things! Since 3D convolutional networks are very limited in their maximum resolution, most of the interesting things you can do involve learning on RGB+D images via a 2D CNN. A lot of tasks on images (segmentation, identification etc) are easier when you have even partial depth data as input.
- llebttam 9y agoIf you didn't see the link to the paper, it's here: https://arxiv.org/pdf/1709.06158.pdf https://arxiv.org/pdf/1709.06158.pdf A wide range of usecases are discussed there.