Automatic corner detection of chess board for medical endoscopy camera calibration

Xiaoming Hu*, Pengfei Du, Ya Zhou

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Citations (Scopus)

Abstract

Camera calibration can hardly be avoided in the context of image-based computer aid surgery. Due to the radial distortion of endoscopy lens, the first challenging task is to solve the parameters of distortion correcting. Today various calibration methods have been proposed where the corners on a planar checker board are used as the control points. However the manual method and interactive method of corner extraction for endoscopy are extremely time consuming and require too much labor. In this paper, an effective automatic corner detection method for endoscopy lens is proposed. It consists of the detection of image corners, and the sub pixel recognition of corners at the intersection of black and white squares. Experiments show the robustness of the proposed method which will reduce the time consuming for endoscopy camera calibration.

Original languageEnglish
Title of host publicationProceedings of VRCAI 2011
Subtitle of host publicationACM SIGGRAPH Conference on Virtual-Reality Continuum and its Applications to Industry
Pages431-434
Number of pages4
DOIs
Publication statusPublished - 2011
Event10th International Conference on Virtual Reality Continuum and Its Applications in Industry, VRCAI'11 - Hong Kong, China
Duration: 11 Dec 201112 Dec 2011

Publication series

NameProceedings of VRCAI 2011: ACM SIGGRAPH Conference on Virtual-Reality Continuum and its Applications to Industry

Conference

Conference10th International Conference on Virtual Reality Continuum and Its Applications in Industry, VRCAI'11
Country/TerritoryChina
CityHong Kong
Period11/12/1112/12/11

Keywords

  • Camera calibration
  • Corner detection
  • Endoscopy

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