A
Alain Pagani
Researcher at German Research Centre for Artificial Intelligence
Publications - 92
Citations - 1056
Alain Pagani is an academic researcher from German Research Centre for Artificial Intelligence. The author has contributed to research in topics: Augmented reality & Computer science. The author has an hindex of 14, co-authored 73 publications receiving 685 citations. Previous affiliations of Alain Pagani include Fraunhofer Society & Kaiserslautern University of Technology.
Papers
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Book ChapterDOI
A Superior Tracking Approach: Building a Strong Tracker through Fusion
TL;DR: The fusion approach is very generic as it only requires frame-based tracking results in form of the object’s bounding box as input and thus can work with arbitrary tracking algorithms.
Proceedings ArticleDOI
Structure from Motion using full spherical panoramic cameras
Alain Pagani,Didier Stricker +1 more
TL;DR: This paper forms a method using a spherical imaging model, that covers all central projection cameras, including catadioptric and dioptric systems, as well as the standard projective pinhole camera, and uses this error formulation in a Structure from Motion pipeline with full spherical panoramic cameras.
Proceedings ArticleDOI
Learning to Fuse: A Deep Learning Approach to Visual-Inertial Camera Pose Estimation
TL;DR: This work presents a novel approach to sensor fusion using a deep learning method to learn the relation between camera poses and inertial sensor measurements and results confirm the applicability and tracking performance improvement gained from the proposed sensor fusion system.
Proceedings ArticleDOI
Deep Multi-state Object Pose Estimation for Augmented Reality Assembly
TL;DR: This work presents a CNN that is able to detect and regress the pose of an object in multiple states and shows how the output of this network can be used in an automatically generated AR scenario that provides step-by-step guidance to the user in assembling an object consisting of multiple components.
Journal ArticleDOI
Data-Driven Artificial Intelligence Applications for Sustainable Precision Agriculture
Maria Teresa Linaza,Jorge Posada,Jürgen Bund,Peter Eisert,Marco Quartulli,Jürgen Döllner,Alain Pagani,Igor G. Olaizola,Andre Barriguinha,Theocharis Moysiadis,Laurent Lucat +10 more
TL;DR: This work provides a summary of the most recent research activities in the form of research projects implemented and validated by the authors in several European countries, with the objective of presenting the already achieved results, the current investigations and the still open technical challenges.