#point cloud segmentation

I will present a paper about "Depth-Adaptive Superpixels (DASP)" on the 21-st International Conference of Pattern Recognition (ICPR 2012).

Depth-adaptive superpixels is a novel oversegmentation algorithm for RGB-D images. RGBD images have become incrasingly popular due to the Microsoft Kinect.

In contrast to previous approaches, DASP uses 3D information in addition to color. DASP can be used as a preprocessing step for various computer vision applications, for example image segmentation or point cloud segmentation.

The paper, the source code and a small dataset can be found on the github project page Danvil/dasp.