FPGA-based rectification of stereo images

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2010

Autores

Rodrigues, JGP (Autor) Outra; João Canas Ferreira (Autor) FEUP

Ata de Conferência Internacional

Título: 2010 Conference on Design and Architectures for Signal and Image Processing, DASIP2010

Páginas: 199-206

2010 Conference on Design and Architectures for Signal and Image Processing, DASIP2010

Edinburgh, 26 October 2010 through 28 October 2010

Indexação

Scopus - 6 Citações

Classificação Científica

FOS: Ciências da engenharia e tecnologias > Engenharia electrotécnica, electrónica e informática

CORDIS: Ciências Tecnológicas > Engenharia > Engenharia de computadores ; Ciências Tecnológicas > Engenharia > Engenharia electrónica

Outras Informações

ID Authenticus: P-007-XMF

DOI: 10.1109/dasip.2010.5706265

Abstract (EN): In order to obtain depth information about a scene in computer vision, one needs to process pairs of stereo images. The calculation of dense depth maps in real-time is computationally challenging as it requires searching for matches between objects in both images. The task is significantly simplified if the images are rectified, a process which horizontally aligns the objects in both images. The process of stereo images rectification has several steps with different computational requirements. The steps include 2D searches for high fidelity matches, precise matrix calculations, and fast pixel coordinate transformations and interpolations. In this project, the complete process is effectively implemented in a Spartan-3 FPGA, taking advantage of a MicroBlaze soft core for slow but precise calculations, and of fast dedicated hardware support for achieving the real-time requirements. The implemented system successfully performs real-time rectification on the images from two video cameras, with a resolution of 640×480 pixels and a frame rate of 25 fps, and is easily configured for videos with higher resolutions. The experimental results show very good quality, with rectified images having a maximum vertical disparity of two pixels, thereby showing that stereo image rectification can be efficiently achieved in an low-resource FPGA (with 64KB for program instructions and data). © 2010 IEEE.

Idioma: Inglês

Tipo (Avaliação Docente): Científica