<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>10</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Alessandro Vianello</style></author><author><style face="normal" font="default" size="100%">Giulio Manfredi</style></author><author><style face="normal" font="default" size="100%">Maximilian Diebold</style></author><author><style face="normal" font="default" size="100%">Bernd Jähne</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">3D Reconstruction by a Combined Structure Tensor and Hough Transform Light-Field Approach</style></title><secondary-title><style face="normal" font="default" size="100%">Forum Bildverarbeitung</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2016</style></year></dates><urls><web-urls><url><style face="normal" font="default" size="100%">https://doi.org/10.5445/KSP/1000059899</style></url></web-urls></urls><isbn><style face="normal" font="default" size="100%">978-3-7315-0587-7</style></isbn><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">Disparity estimation using the structure tensor is a local approach to determine orientation in Epipolar Plane Images. A global extension would lead to more precise and robust estimations. In this work, a novel algorithm for 3D reconstruction from linear light fields is porposed. It uses a modified Progressive Probabilistic Hough Transform, in combination with the structure tensor, to extract orientations from Epipolar Plane Images edge maps, allowing to achieve high quality disparity maps.</style></abstract></record></records></xml>