Skip to main content

Blog

Learn About Our Meetup

5000+ Members

MEETUPS

LEARN, CONNECT, SHARE

Join our meetup, learn, connect, share, and get to know your Toronto AI community. 

JOB POSTINGS

INDEED POSTINGS

Browse through the latest deep learning, ai, machine learning postings from Indeed for the GTA.

CONTACT

CONNECT WITH US

Are you looking to sponsor space, be a speaker, or volunteer, feel free to give us a shout.

[D] Is accurately estimating the contents of a voxel outside of a real 3D model possible?

Imagine we have a training set of real 3D models (by this I mean, for example, 3D models of a rooms in buildings), and with this training set, we train a neural network to understand the relationship between a voxel and the 3D model in which it resides (I hypothesize that something like light would be a factor). Then, we use our neural network to predict one voxel outside of the captured (by a camera) 3D model. Is this possible? Would the desired results be achieved?

submitted by /u/Mjjjokes
[link] [comments]