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|Title:||Accurate Multimodal Calibration of Portable X-ray Capture Systems for 3D Reconstruction|
|Authors:||RODRIGUEZ LOPEZ ANTONIO; TADDEI PIERLUIGI; SEQUEIRA Vitor|
|Citation:||2014 International Conference on 3D Vision vol. 1 p. 34 5- 352|
|Publisher:||IEEE Computer Society|
|Type:||Articles in periodicals and books|
|Abstract:||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.|
|JRC Directorate:||Nuclear Safety and Security|
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