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Except that DL can't provide the same things as a lot of CV research. They are two separate areas of research for different problems. DL doesn't provide soluti
by SolarNet 9y ago
Except that DL can't provide the same things as a lot of CV research. They are two separate areas of research for different problems.
DL doesn't provide solutions for challenges in robotics or augmented reality that CV is very good at. For example it can't place the camera at a specific position in the world using the image. DL can tell us what's in the image which CV can't. But CV can place the locations of those objects relative to the viewer.
- interpol_p 9y ago> For example it can't place the camera at a specific position in the world using the image. I might be mistaken but isn't that exactly what this author's research was about? Camera pose estimation via Deep Learning ("PoseNet").
- vbarrielle 9y agoYes, but if you read the paper you'll see that he's talking about tightening the gap between the Deep Learning approaches and the current features + geometry state of the art, which is an order of magnitude more precise. DL approaches are however quite faster.
- AndrewKemendo 9y agoCamera Pose estimation is nearly solved with DL. In fact we're rolling out an application through a major retailer this summer that does exactly that.
- JabavuAdams 9y agoIt's not a fundamental limitation. People just haven't gotten to that yet, since there's so much low-hanging fruit with DL.