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

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.


Editor(s):
Orailoglu, A
Ugurdag, Hf
Silveira, Lm
Margala, M
Reis, R
Published in:
Vlsi-Soc: At The Crossroads Of Emerging Trends, 461, 227-248
Presented at:
IFIP/IEEE WG 10.5 21st International Conference on Very Large Scale Integration (VLSI-SoC), Ozyegin Univ, Istanbul, TURKEY, OCT 06-09, 2013
Year:
2015
Publisher:
Berlin, Springer-Verlag Berlin
ISSN:
1868-4238
ISBN:
978-3-319-23799-2
Keywords:
Laboratories:




 Record created 2016-02-16, last modified 2018-03-17


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