You are required to read and agree to the below before accessing a full-text version of an article in the IDE article repository.

The full-text document you are about to access is subject to national and international copyright laws. In most cases (but not necessarily all) the consequence is that personal use is allowed given that the copyright owner is duly acknowledged and respected. All other use (typically) require an explicit permission (often in writing) by the copyright owner.

For the reports in this repository we specifically note that

  • the use of articles under IEEE copyright is governed by the IEEE copyright policy (available at http://www.ieee.org/web/publications/rights/copyrightpolicy.html)
  • the use of articles under ACM copyright is governed by the ACM copyright policy (available at http://www.acm.org/pubs/copyright_policy/)
  • technical reports and other articles issued by M‰lardalen University is free for personal use. For other use, the explicit consent of the authors is required
  • in other cases, please contact the copyright owner for detailed information

By accepting I agree to acknowledge and respect the rights of the copyright owner of the document I am about to access.

If you are in doubt, feel free to contact webmaster@ide.mdh.se

Towards an Embedded Real-Time High Resolution Vision System

Authors:


Research group:


Publication Type:

Conference/Workshop Paper

Venue:

10th International Symposium on Visual Computing

Publisher:

Springer International Publishing

DOI:

10.1007/978-3-319-14364-4_52


Abstract

This paper proposes an approach to image processing for high performance vision systems. Focus is on achieving a scalable method for real-time disparity estimation which can support high resolution images and large disparity ranges. The presented implementation is a non-local matching approach building on the innate qualities of the processing platform which, through utilization of a heterogeneous system, combines low-complexity approaches into performing a high-complexity task. The complementary platform composition allows for the FPGA to reduce the amount of data to the CPU while at the same time promoting the available informational content, thus both reducing the workload as well as raising the level of abstraction. Together with the low resource utilization, this allows for the approach to be designed to support advanced functionality in order to qualify as part of unified image processing in an embedded system.

Bibtex

@inproceedings{Ekstrand3802,
author = {Fredrik Ekstrand and Carl Ahlberg and Giacomo Spampinato and Mikael Ekstr{\"o}m},
title = {Towards an Embedded Real-Time High Resolution Vision System},
isbn = {978-3-319-14363-7},
editor = {George Bebis},
pages = {541--550},
month = {December},
year = {2014},
booktitle = {10th International Symposium on Visual Computing},
publisher = {Springer International Publishing},
url = {http://www.es.mdu.se/publications/3802-}
}