@inproceedings{b744101135ad416e8924f83d3d742c2e,
title = "Automatic corner detection of chess board for medical endoscopy camera calibration",
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.",
keywords = "Camera calibration, Corner detection, Endoscopy",
author = "Xiaoming Hu and Pengfei Du and Ya Zhou",
year = "2011",
doi = "10.1145/2087756.2087837",
language = "English",
isbn = "9781450310604",
series = "Proceedings of VRCAI 2011: ACM SIGGRAPH Conference on Virtual-Reality Continuum and its Applications to Industry",
pages = "431--434",
booktitle = "Proceedings of VRCAI 2011",
note = "10th International Conference on Virtual Reality Continuum and Its Applications in Industry, VRCAI'11 ; Conference date: 11-12-2011 Through 12-12-2011",
}