Skip Navigation
York U: Redefine the PossibleHOME | Current Students | Faculty & Staff | Research | International
Search »FacultiesLibrariesCampus MapsYork U OrganizationDirectorySite Index
Future Students, Alumni & Visitors
2014 Technical Reports

Evaluation of Computer Vision Stereo Algorithms for Surgical Applications

Sepehr Vosoughi, Elle Ameli and Richard P. Wildes

Technical Report EECS-2014-01

York University

February 10 2014


This project contributes to the application of computerized stereo vision in the medical domain. A dataset that is representative of medical surgery has been obtained that contains twenty-five left-right stereo image pairs along with dense groundtruth disparity maps. Furthermore, a representative set of four state-of-the-art stereo algorithms are run on the datasets and resulting disparity maps are presented. These results are qualitatively and quantitatively analyzed and performance of each stereo algorithm is compared. Key performance issues for each algorithm and for each scene are pointed out and suggestions for future improvements to the stereo algorithms are made. Finally, suggestions and plans for future work are presented.

Download paper in PDF format.

The documents distributed by this server have been provided by the contributing authors as a means to ensure timely dissemination of scholarly and technical work on a noncommercial basis. Copyright and all rights therein are maintained by the authors or by other copyright holders, notwithstanding that they have offered their works here electronically. It is understood that all persons copying this information will adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.