Automatic perspective camera calibration based on an incomplete set of chessboard markers

Alessandro Gherardi, Ludovico Carozza, Alessandro Bevilacqua

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Abstract

The measurement in metric units from a perspective view of a real world object is an important task in many computer vision applications. The goal of the perspective calibration is to map the reference coordinates of the 3D object into the 2D image coordinates. This is usually done by recovering the perspective transformation parameters by presenting to the camera a view of a known calibration pattern. Many of the available algorithms require to process all the points of the calibration pattern in order to recover the transformation parameters effectively. The approach we present for the computation of the inverse perspective transformation does not require to consider all the grid points. Rather, a grid matching between the 3D points projection and the model is performed exploiting a graph based approach. Extensive experiments have proved the efficacy of the algorithm in different application fields such as camera calibration and automotive headlight beam characterization.
Original languageEnglish
Title of host publication6th IEEE Indian Conference on Computer Vision, Graphics & Image Processing (ICVGIP 2008)
PublisherIEEE
Pages126-133
Number of pages8
ISBN (Electronic)978-0-7695-3476-3
ISBN (Print)978-0-7695-3476-3
DOIs
Publication statusPublished - 2008
Event8th Indian Conference on Computer Vision, Graphics & Image Processing - Bhubaneswar, India
Duration: 16 Dec 200819 Dec 2008

Conference

Conference8th Indian Conference on Computer Vision, Graphics & Image Processing
Abbreviated titleICVGIP '08
CountryIndia
CityBhubaneswar
Period16/12/0819/12/08

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