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- University of CoimbraPT27 papers
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4 papers · 1 filter
3D Reconstruction with Low Resolution, Small Baseline and High Radial Distortion Stereo Images
Tiago Dias, Helder Araujo, Pedro Miraldo
In this paper we analyze and compare approaches for 3D reconstruction from low-resolution (250x250), high radial distortion stereo images, which are acquired with small baseline (a…
Deep EndoVO: A Recurrent Convolutional Neural Network (RCNN) based Visual Odometry Approach for Endoscopic Capsule Robots
Mehmet Turan, Yasin Almalioglu, Helder Araujo +2
Ingestible wireless capsule endoscopy is an emerging minimally invasive diagnostic technology for inspection of the GI tract and diagnosis of a wide range of diseases and pathologi…
Sparse-then-Dense Alignment based 3D Map Reconstruction Method for Endoscopic Capsule Robots
Mehmet Turan, Yusuf Yigit Pilavci, Ipek Ganiyusufoglu +3
Since the development of capsule endoscopcy technology, substantial progress were made in converting passive capsule endoscopes to robotic active capsule endoscopes which can be co…
Learning the structure of Bayesian Networks: A quantitative assessment of the effect of different algorithmic schemes
Stefano Beretta, Mauro Castelli, Ivo Goncalves +2
One of the most challenging tasks when adopting Bayesian Networks (BNs) is the one of learning their structure from data. This task is complicated by the huge search space of possi…