Enhanced Compressed Look-up-Table Based Real-Time Rectification Hardware - VLSI-SoC: At the Crossroads of Emerging Trends Access content directly
Conference Papers Year : 2015

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.
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hal-01380308 , version 1 (12-10-2016)

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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⟩
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