Aug 23, 2012
Depth-Adaptive Superpixels
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.