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.

How to evaluate the quality of the 3D model (point cloud)? [D]

Hello everyone

I need to evaluate the quality of the 3D model (or point cloud) reconstructed from 3D laser scans. The main issue is, that I don´t have the ground truth model for this evaluation. Can you please suggest any ideas? I read many research papers on which usually used photogrammetry or model created from photographs. But I don´t have photos, I can use only scans from a laser scanner. The main goal is to find the best reconstruction method (I have to try many Iterative Closest Point (ICP) variants).

I am thinking about compare distances between reference points of the reconstructed model with manually measured distances from the real object, but it should be an automated process. Or maybe I can use more scanners in fixed positions for scanning different objects and then evaluate ICP transformation. The most consistent transformation should be the best. What do you think about it? Please write your ideas. Thanks 🙂

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

Next Meetup

 

Days
:
Hours
:
Minutes
:
Seconds

 

Plug yourself into AI and don't miss a beat

 


Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.