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Package Summary

Stereo and single image rectification and disparity processing.

image_pipeline: camera_calibration | depth_image_proc | image_proc | image_rotate | image_view | stereo_image_proc

Package Summary

Stereo and single image rectification and disparity processing.

image_pipeline: camera_calibration | depth_image_proc | image_proc | image_rotate | image_view | stereo_image_proc

Package Summary

Stereo and single image rectification and disparity processing.

image_pipeline: camera_calibration | depth_image_proc | image_proc | image_publisher | image_rotate | image_view | stereo_image_proc

Package Summary

Stereo and single image rectification and disparity processing.

image_pipeline: camera_calibration | depth_image_proc | image_proc | image_publisher | image_rotate | image_view | stereo_image_proc

Package Summary

Stereo and single image rectification and disparity processing.

image_pipeline: camera_calibration | depth_image_proc | image_proc | image_publisher | image_rotate | image_view | stereo_image_proc

Package Summary

Stereo and single image rectification and disparity processing.

image_pipeline: camera_calibration | depth_image_proc | image_proc | image_publisher | image_rotate | image_view | stereo_image_proc

Package Summary

Stereo and single image rectification and disparity processing.

Contents

Contents

Contents

Contents

  1. Visão Geral

Visão Geral

Este pacote contém o nó [stereo_image_proc](http://wiki.ros.org/stereo_image_proc), que fica entre os drivers da câmera estéreo e os nós de processamento de visão.

O stereo_image_proc executa os drivers do image_proc para ambas as câmeras, não distorcendo e colorindo as imagens brutas. Note que para as câmeras estéreo corretamente calibradas, a distorção é na verdade combinada com a retificação, transformando as imagens de forma que suas linhas de varredura se alinhem para processamento estéreo rápido.

O stereo_image_proc também computará imagens de disparidade de pares estéreo de entrada usando o algoritmo de correspondência de blocos do OpenCV. Estes são melhor inspecionados usando stereo_view.

O nó também produzirá nuvens de pontos, que você pode visualizar no rviz e processar com [pcl](http://pointclouds.org/documentation/). (pointClud2)


2022-05-28 12:54