Automatic 3D modeling from reality
Results | Scale, scene, and sensor invariance
Thesis Research
Robotics Institute
Daniel Huber
Carnegie Mellon University

Overview
 

Evaluating hypotheses
Finding the solution

Results
  Large DB tests
Generality
Accuracy
Publications
Video

   

We have also demonstrated automatic modeling for scene scales ranging from a few centimeters to hundreds of meters, for several different 3D sensors, and for various scene types. One of the main advantages of our approach is that the same algorithm works in all cases. There is no need to build or buy separate hardware and software for each scenario.

Extreme close up

This scenario illustrates how automatic modeling could be used for reducing the labor-intensive task of high-resolution scanning of cultural heritage objects. The setup mimics the data collection parameters of the Digital Michelangelo project. The surface patches are approximately 3 x 3 cm patches of a synthetic object.

Close-up of input object

Registered views

Reconstructed model

Medium scale

At the medium scale, we scanned about 20 different objects and part of our lab using the Minolta Vivid 700 scanner. These scenes range in scale from 10 cm to 3.3 m.


Garden gnome

Part of our lab

Large scale

For large-scale scenes, we used the Z+F scanner to scan building interiors and terrain to create models up to 224 m in size.

The car barn

CMU lecture hall

Coal mine top view (gridlines every 10 m)

Coal mine perspective view

Next: Accuracy of the models