Acceleration of the Chan-Vese model for 3D segmentation of tumors in CT scans using GPUs

Segmentation and annotation of tumors in CT scans of the brain is a cumbersome time-consuming task for medical experts. Carefully annotated data can be used to build training data sets for machine learning frameworks, with the ultimate goal to fully automate this process. This thesis focuses on acceleration of the annotation process by...

3D Information Extraction Based on GPU

Our project starts from a practical specific application of stereo vision (matching) on a robot arm, which is first building up a vision system for a robot arm to make it obtain the capability of detecting the objects 3D information on a plane. The kernel of the vision system is stereo matching. Stereo matching(correspondence) problem has been...