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Accurate Camera Calibration from Multi-View Stereo and Bundle Adjustment Yasutaka Furukawa1
 

Summary: Accurate Camera Calibration from Multi-View Stereo and Bundle Adjustment
Yasutaka Furukawa1
Department of Computer Science
and Beckman Institute
University of Illinois at Urbana-Champaign, USA1
Jean Ponce2,1
Willow Team
LIENS (CNRS/ENS/INRIA UMR 8548)
Ecole Normale Sup´erieure, Paris, France2
Abstract: The advent of high-resolution digital cameras and so-
phisticated multi-view stereo algorithms offers the promises of un-
precedented geometric fidelity in image-based modeling tasks, but
it also puts unprecedented demands on camera calibration to ful-
fill these promises. This paper presents a novel approach to cam-
era calibration where top-down information from rough camera
parameter estimates and the output of a publicly available multi-
view-stereo system [6] on scaled-down input images are used to
effectively guide the search for additional image correspondences
and significantly improve camera calibration parameters using a
standard bundle adjustment algorithm [14]. The proposed method

  

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