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International Journal of Computer Vision manuscript No. (will be inserted by the editor)

Summary: International Journal of Computer Vision manuscript No.
(will be inserted by the editor)
Accurate Camera Calibration from Multi-View Stereo and Bundle
Yasutaka Furukawa · Jean Ponce
Received: date / Accepted: date
Abstract The advent of high-resolution digital cameras and
sophisticated multi-view stereo algorithms offers the promise
of unprecedented geometric fidelity in image-based model-
ing tasks, but it also puts unprecedented demands on camera
calibration to fulfill these promises. This paper presents a
novel approach to camera calibration where top-down infor-
mation from rough camera parameter estimates and the out-
put of a multi-view-stereo system on scaled-down input im-
ages is used to effectively guide the search for additional im-
age correspondences and significantly improve camera cali-
bration parameters using a standard bundle adjustment algo-
rithm (Lourakis and Argyros, 2008). The proposed method
has been tested on six real datasets including objects without
salient features for which image correspondences cannot be


Source: Anderson, Richard - Department of Computer Science and Engineering, University of Washington at Seattle
École Normale Supérieure, Laboratoire d'Informatique, WILLOW Computer vision and machine learning research laboratory


Collections: Computer Technologies and Information Sciences; Engineering