George Alexis Ioannakis

George Alexis Ioannakis
Athena-Research and Innovation Center in Information, Communication and Knowledge Technologies · Institute for Language and Speech Processing

PhD

About

23
Publications
5,999
Reads
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427
Citations
Introduction
As of 2020, he is an assistant researcher at the Institute for Language and Speech Processing of the Athena Research Center. Among his research interests are 3d mesh processing, 3d object retrieval, photogrammetry, image processing and machine learning.
Additional affiliations
July 2020 - June 2021
Athena-Research and Innovation Center in Information, Communication and Knowledge Technologies
Position
  • Researcher
January 2019 - December 2019
Democritus University of Thrace
Position
  • PostDoc Position
March 2016 - February 2021
Democritus University of Thrace
Position
  • Research Assistant
Education
July 2014 - July 2014
ISTI CNR, Pisa
Field of study
  • 2D\3D Documentation for archaeology (TNA)
November 2013 - November 2017
Democritus University of Thrace
Field of study
  • 3D object processing and content-based retrieval
March 2008 - August 2008
Technische Universität München
Field of study
  • Geodäsie und Geoinformation

Publications

Publications (23)
Article
A number of software solutions based on the Structure-From-Motion (SFM) and Dense Multi-View 3D Reconstruction (DMVR) algorithms have been made recently available. They allow the production of high quality 3D models by using unordered image collections that depict a scene or an object from different viewpoints. In this work, we question the quality...
Article
One of the factors that determine the data quality produced by targetless photogrammetric techniques is the feature richness of the surface being captured. The Structure-From-Motion and Multiple View Stereovision (SFM-MVS) pipeline is no exception to this rule as it relies on the ability to identify corresponding points within a collection of unord...
Conference Paper
The aim of this research is to achieve spatial consistency of the UV map. We present an approach to produce a fully spatially consistent UV mapping based on the planar parameterisation of the mesh. We apply our method on a 3D digital replica of an ancient Greek Lekythos vessel. We parameterise the mesh of a 3D model onto a unit square 2D plane usin...
Article
Performance evaluation is one of the main research topics in information retrieval. Evaluation metrics are used to quantify various performance aspects of a retrieval method. These metrics assist in identifying the optimum method for a specific retrieval challenge but also to allow its parameters finetuning in order to achieve a robust operation fo...
Article
Haptic prohibition is one of the most common limitations when interacting with museum artefacts. This restriction aims quite logically at preventing damages while safeguarding the integrity of the cultural reserve, which is primarily characterised by its uniqueness. Nevertheless, in cases where museum visitors are visually impaired, the inability t...
Preprint
Full-text available
The main objective of this work is to utilize state-of-the-art deep learning approaches for the identification of pulmonary embolism in CTPA-Scans for COVID-19 patients, provide an initial assessment of their performance and, ultimately, provide a fast-track prototype solution (system). We adopted and assessed some of the most popular convolutional...
Article
Disaster risk management of movable and immovable cultural heritage is a highly significant research topic. In this work, we present a pipeline for 3D digitisation, segmentation and annotation of large scale urban areas in order to produce data that can be exploited in disaster management simulators (e.g fire spreading, crowd movement, firefighting...
Chapter
ESTIA is a research and innovation project that aspires to develop a comprehensive platform allowing the forecast, detection and management of incidents that are related with the risk of structural fires within Cultural Heritage (CH) settlements and sites. ESTIA aims to (a) enhance the management and preservation of CH, (b) limit the risks of fire...
Chapter
One of the most challenging tasks in cross reality environment simulations is the generation of realistic and attractive worlds. The continuous evolution of computer game industry has a dramatic effect on such tasks as younger generations have higher expectations and demands in terms of realism. Virtual, Augmented, and mixed reality-based museums a...
Chapter
Numerous software solutions implementing the structure-from-motion/multi-view stereo (SFM/MVS) 3D reconstruction approach have been made available over the last two decades. Hence, enabling the production of high quality, in terms of geometry and colour information, 3D objects using solely unordered image sequences depicting a static scene or objec...
Article
Full-text available
The on-demand content enrichment of an exhibition center visit is an active applied research domain. This work focuses on the exploitation of mobile devices as an efficient medium to deliver information related to an exhibit or an area within the exhibition center by utilizing machine learning approaches. We present YPOPSEI, an integrated system th...
Article
Machine learning is constantly proving its capabilities by achieving exceptional results in recognition and classification tasks. Image content recognition has been addressed by Bags of Visual Words coupled with a classification algorithm as well as convolutional neural networks. In this work, we question the applicability of these approaches indiv...
Chapter
Performance evaluation is one of the main research topics in information retrieval. Evaluation metrics in combination with benchmark datasets (groundtruth) are used to quantify various performance aspects of a retrieval algorithm. In this paper, we present the Orion Pottery Repository, a publicly available and domain specific benchmark database. It...
Article
Full-text available
Numerous software solutions that implement the Structure-from-Motion/Multi-View Stereo (SfM/MVS) 3D reconstruction approach have been made available during the last decade. These allow the production of high quality in terms of geometry and colour information 3D models with the use of unordered image collections that depict a static scene or object...
Conference Paper
Full-text available
Despite numerous recent efforts, 3D object retrieval based on partial shape queries remains a challenging problem, far from being solved. The problem can be defined as: given a partial view of a shape as query, retrieve all partially similar 3D models from a repository. The objective of this track is to evaluate the performance of partial 3D object...
Conference Paper
Performance benchmarking is an absolute necessity when attempting to objectively quantify the performance of content-based retrieval methods. For many years now, a number of plot-based and scalar-based measures in combination with benchmark datasets have already been used in order to provide objective results. In this work, we present the first ver...
Conference Paper
The generation of 3D models with the Structure-from-Motion and Multiple View Stereovision (SFM-MVS) techniques is considered popular within the cultural heritage domain. The cost effectiveness in terms of hardware equipment and relatively low background knowledge requirements are two major SFM-MVS properties while the quality of the data produced c...
Conference Paper
Web-based dissemination of cultural heritage 3D content has been vividly increased over the last decade. EU-funded research and development projects established affordable pipelines in order to allow efficient 3D documentation and dissemination. Such an example is the 3D-ICONS project that was focused on the 3D digitisation of outstanding cultural...
Article
Full-text available
3D digitisation has been applied in different application domains. Due to the continuous growing interest, commercial and experimental 3D acquisition systems have evolved. Nevertheless, there isn't an all-in-one solution, thus there is a need for combining different technologies in order to exploit the advantages of each approach. In this paper, we...

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Projects

Project (1)
Project
A Web-based integrated information retrieval performance evaluation platform. It offers a number of popular, within the scientific community, metrics so as to compose an efficient framework for executing different evaluation scenarios.