Accurate Multimodal Calibration of Portable X-ray Capture Systems for 3D Reconstruction

We describe a method for non-invasive, accurate and efficient 3D reconstruction of occluded scenes from a minimal number of X-ray and range scan image acquisitions. The residuals of generalised epipolar constraints (GEC) are incorporated in an efficient bundle adjustment minimisation, which obtains maximum likelihood estimations of the X-ray image calibration parameters from correspondences between scene points, image points and apparent image contours of scene objects. Furthermore, we make use of a multimodal template adequate for accurate joint calibration of X-ray and range scan images, which offers crucial advantages for security applications such as minimal scene occlusion and an agile data acquisition. Finally we describe a state of the art shape-from-shilhouettes method to retrieve the 3D shape of scene objects by fitting a parametric model shape to their apparent silhouettes. We demonstrate the practical and computational advantages of the method herein described with respect to previous proposals using both synthetic and real experiments.

RODRIGUEZ LOPEZ Antonio;  TADDEI Pierluigi;  SEQUEIRA Vitor; 

2015-01-23

IEEE Computer Society

JRC90785

978-1-4799-7001-8,   

https://publications.jrc.ec.europa.eu/repository/handle/JRC90785,   

10.1109/3DV.2014.64,