Commit 916ecf26 authored by Torsten Sattler's avatar Torsten Sattler


parent fabeca7a
......@@ -17,6 +17,8 @@ We provide the following data for the challenge:
* a semantically annotated 3D point cloud depicting the area of the training sequence.
* A testing sequence consisting of calibrated images with their camera poses.
Please notice that only a subset of all cameras (cameras 0 and 2) provide colour images while the other cameras capture the scene only in greyscale. Labels are only provided for the colour cameras, while the greyscale cameras are intended to be used for obtained better depth maps (cameras 0 and 1 and cameras 2 and 3 form a stereo pair).
## Data
* File [`labels.yaml`]( - semantic label definition list
......@@ -62,6 +64,7 @@ We will evaluate the following measures:
* Reconstruction accuracy in % for a set of distance thresholds (similar to [1,2])
* Reconstruction completeness in % for a set of distance thresholds (similar to [1,2])
* Semantic quality in % of the triangles that are correctly labeled.
We will use distance thresholds of 1cm, 2cm, 3cm, 5cm, and 10cm.
#### References
Markdown is supported
0% or
You are about to add 0 people to the discussion. Proceed with caution.
Finish editing this message first!
Please register or to comment