Show HN: 3D sensing SDK for iOS – Produces point cloud and 6DOF device motion
1–10 of 21 posts
Re: Show HN: 3D sensing SDK for iOS – Produces point cloud and 6DOF device motion
#2Looks very cool, but it feels like there's a big gap between Evaluation (online only, low API call limit) and Enterprise ("contact us") pricing models.
Not sure what market you're ultimately going for, but right now it seems to defeat the point of providing a nice simple API if it's only usable for either throwaway projects or by very large customers.
Re: Show HN: 3D sensing SDK for iOS – Produces point cloud and 6DOF device motion
#3looks cool. You could probably use this for stabilising video footage
Re: Show HN: 3D sensing SDK for iOS – Produces point cloud and 6DOF device motion
#4Very cool! Can you give a brief overview of the underlying technology you use to extract the distance data back out from a 2D image?
Re: Show HN: 3D sensing SDK for iOS – Produces point cloud and 6DOF device motion
#5This technology is awesome! If it's half as impressive in real life as the demo suggests you have done a fantastic job creating some really innovative technology. I wish you the best of luck in turning it into a real business!
Re: Show HN: 3D sensing SDK for iOS – Produces point cloud and 6DOF device motion
#6Really impressive! Nice name, video, website!
However I would strongly recommend picking only one of your "features", the indoor navigation. If I were you, I'd definitely try to build a business by concentrating only on indoor navigation!
Indoor navigation is a huge new area where all the big players are looking for possible partners/acquisitions right now! Overlay-based AR, and the measuring tape demo is a joke compared what you've shown in indoor navigation!
You really have a chance of making a successful company based only on the indoor navigation feature. Forget the pricing for now, just offer it as a free beta on both iOS and Android and try to get the word out as much as you can.
Good luck!
Re: Show HN: 3D sensing SDK for iOS – Produces point cloud and 6DOF device motion
#7Very cool! Can you give a brief overview of the underlying technology you use to extract the distance data back out from a 2D image?
My guess is they store a point cloud, whith each point mapped to a pair of coordinates on the image.
Re: Show HN: 3D sensing SDK for iOS – Produces point cloud and 6DOF device motion
#8Very cool! Can you give a brief overview of the underlying technology you use to extract the distance data back out from a 2D image?
I'm fairly sure that the tech is based around "structure from motion". The API simultaneously estimates the position of the camera at each point in time, and the location of some reference points (blue circles in the vid).
Because the device has an accelerometer, it is even able to extract distances, not just relative distances. I'm actually surprised by this as I always assumed the accelerometer was too noisy to be of use for this.
I tried to do a similar thing myself, but the problem is technically very difficult. While a lot of research has been done on structure from motion, actually packaging it into a usable API is a big task
Re: Show HN: 3D sensing SDK for iOS – Produces point cloud and 6DOF device motion
#9Very cool! Can you give a brief overview of the underlying technology you use to extract the distance data back out from a 2D image?
I'm fairly sure that the tech is based around "structure from motion". The API simultaneously estimates the position of the camera at each point in time, and the location of some reference points (blue circles in the vid). Because the device has an accelerometer, it is even able to extract distances, not just relative distances. I'm actually surprised by this as I always assumed the accelerometer was too noisy to be…
Yep, that's pretty accurate. I'll let our PhD guy come explain a bit more himself. Sorry, we're a bit busy with our exhibit at Disrupt, bit we'll be able to answer more questions later.
Re: Show HN: 3D sensing SDK for iOS – Produces point cloud and 6DOF device motion
#10Very cool! Can you give a brief overview of the underlying technology you use to extract the distance data back out from a 2D image?
I'm fairly sure that the tech is based around "structure from motion". The API simultaneously estimates the position of the camera at each point in time, and the location of some reference points (blue circles in the vid). Because the device has an accelerometer, it is even able to extract distances, not just relative distances. I'm actually surprised by this as I always assumed the accelerometer was too noisy to be…
You've explained it well! And you're exactly right, thanks to the accelerometer we get distances in real-world units. The trick is very closely integrating computer vision and inertial sensing. Images provide an external reference that can clean up the noise from the accelerometer, and the accelerometer provides absolute scale which you can't get from images alone. (I'm one of the founders, BTW.)