Skip to Main content Skip to Navigation
Conference papers

Enhanced Compressed Look-up-Table Based Real-Time Rectification Hardware

Abstract : Real-time disparity estimation requires real-time rectification which involves solving the models of lens distortions, image translations and rotations. Low complexity look-up-table based rectification algorithms usually require an external memory to store large look-up-tables. In this chapter, we present an implementation of the look-up-table based approach which compresses the rectification information to fit the look-up-table into the on-chip memory of a Virtex-5 FPGA. First, a very low complexity compressed look-up-table based rectification algorithm (CLUTR) and its real-time hardware are presented. The implemented CLUTR hardware rectifies stereo images with moderate lens distortion and camera misalignment. Moreover, an enhanced version of the compressed look-up-table based rectification algorithm (E-CLUTR) and its novel real-time hardware are presented. E-CLUTR solves more extreme camera alignment and distortion issues than CLUTR while maintaining the low complexity architecture.
Document type :
Conference papers
Complete list of metadata

Cited literature [12 references]  Display  Hide  Download
Contributor : Hal Ifip Connect in order to contact the contributor
Submitted on : Wednesday, October 12, 2016 - 5:42:25 PM
Last modification on : Thursday, March 5, 2020 - 5:40:11 PM
Long-term archiving on: : Saturday, February 4, 2017 - 8:54:22 PM


Files produced by the author(s)


Distributed under a Creative Commons Attribution 4.0 International License



Abdulkadir Akin, Luis Manuel Gaemperle, Halima Najibi, Alexandre Schmid, Yusuf Leblebici. Enhanced Compressed Look-up-Table Based Real-Time Rectification Hardware. 21th IFIP/IEEE International Conference on Very Large Scale Integration - System on a Chip (VLSI-SoC), Oct 2013, Istanbul, Turkey. pp.227-248, ⟨10.1007/978-3-319-23799-2_11⟩. ⟨hal-01380308⟩



Record views


Files downloads