Konstantinos Moustakas

Konstantinos Moustakas
University of Patras | UP · Department of Electrical and Computer Engineering

PhD

About

281
Publications
37,883
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1,503
Citations
Additional affiliations
November 2016 - April 2017
University of Patras
Position
  • Professor

Publications

Publications (281)
Article
Nowadays, 3D meshes are widely used in various applications in different areas (e.g., industry, education, entertainment and safety). 3D models are captured with multiple RGB-D sensors, and the sampled geometric manifolds are processed, compressed, simplified, stored, and transmitted to be reconstructed in a virtual space. These low-level processin...
Article
This paper presents the methods that have participated in the SHREC 2022 track on the fitting and recognition of simple geometric primitives on point clouds. As simple primitives we mean the classical surface primitives derived from constructive solid geometry, i.e., planes, spheres, cylinders, cones and tori. The aim of the track is to evaluate th...
Chapter
Throughout history, people have migrated from one place to another. People try to reach European shores for different reasons and through different channels. The “European migration crisis” is still ongoing and more than 34,000 migrants and refugees have died trying to get to Europe since 1993. Migrants look for legal ways, but also risk their live...
Conference Paper
Full-text available
Chronic Obstructive Pulmonary Disease (COPD) is a disease characterized by persistent symptoms mainly in the respiratory system and permanent restriction of airflow. It can worsen over time and develop into a serious illness, being one of the leading causes of morbidity and mortality worldwide. In the context of this study, we focus on the early pr...
Conference Paper
Full-text available
In this study, an exponentially weighted moving average (EWMA) filter is employed to transform the intensity values of RGB colour images. The processing is applied at the YCbCr colour system and targets only the component Y. The rationale behind the selection of temporal filtering with exponential weighting is to generate images with lower power si...
Preprint
Full-text available
This paper presents the methods that have participated in the SHREC 2022 track on the fitting and recognition of simple geometric primitives on point clouds. As simple primitives we mean the classical surface primitives derived from constructive solid geometry, i.e., planes, spheres, cylinders, cones and tori. The aim of the track is to evaluate th...
Chapter
Small animals stroke models have widely been used to study the mechanisms of ischemic brain damage in controllable experimental settings. The evaluation of stroke lesions mainly relies on visual inspection of tissue samples collected after brain sectioning, slice staining and scanning, a procedure that is highly subjective and prone to human error....
Chapter
Modern augmented and virtual reality (AR/VR) technology open multiple new capabilities in the way people interact, collaborate and deliver or receive information via digital interfaces. Industry workers and operators may especially benefit from such solutions that allow them to get trained, onsite or remotely, using digital copies of the workplace...
Preprint
Full-text available
Asthma is a common, usually long-term respiratory disease with negative impact on society and the economy worldwide. Treatment involves using medical devices (inhalers) that distribute medication to the airways, and its efficiency depends on the precision of the inhalation technique. Health monitoring systems equipped with sensors and embedded with...
Article
Full-text available
Anterior cruciate ligament (ACL) tear is one of the most common knee injuries. The ACL reconstruction surgery aims to restore healthy knee function by replacing the injured ligament with a graft. Proper selection of the optimal surgery parameters is a complex task. To this end, we developed an automated modeling framework that accepts subject-speci...
Conference Paper
Full-text available
Cardiovascular diseases (CVDs) are the leading cause of death worldwide and a major public health concern, with heart diseases being the most prevalent ones, thus the early prediction is being considered as one of the most effective measures for CVDs control. The risk evaluation for CVD occurrence on participants (men and women) especially aged old...
Preprint
Full-text available
Cryo-electron tomography (cryo-ET) is an imaging technique that allows three-dimensional visualization of macro-molecular assemblies under near-native conditions. Cryo-ET comes with a number of challenges, mainly low signal-to-noise and inability to obtain images from all angles. Computational methods are key to analyze cryo-electron tomograms. To...
Article
An unbiased, automated and reliable method for analysis of brain lesions in tissue after ischemic stroke is missing. Manual infarct volumetry or by threshold-based semi-automated approaches is laborious, and biased to human error or biased by many false -positive and -negative data, respectively. Thereby, we developed a novel machine learning, atla...
Conference Paper
Full-text available
Abnormal glucose metabolism increases the risk for cardiovascular disease and mortality. A key motivation for investigating this topic is Diabetes prevalence, which is the most common example of metabolic disorder that concern humans all over the world. The oral glucose tolerance test (OGTT) constitutes a traditional medical screening tool for all...
Article
Full-text available
Optical Physical Unclonable Functions (PUFs) are well established as the most powerful anticounterfeiting tool. Despite the merits of optical PUFs, widespread use is hindered by existing implementations that are complicated and expensive. On top, the overwhelming majority of optical PUFs refer to extrinsic implementations. Here we overcome these li...
Article
The evolution of automotive technology will eventually permit the automated driving system on the vehicle to handle all circumstances. Human occupants will be just passengers. This poses security issues that need to be addressed. This paper has two aims. The first one investigates strategies for robustifying scene analysis of adversarial road scene...
Chapter
Full-text available
Hypertension is a leading risk factor for cardiovascular diseases (CVDs) which in their turn are among the main causes of death worldwide and public health concern, with heart diseases being the most prevalent ones. The early prediction is considered one of the most effective ways for hypertension control. Based on the English Longitudinal Study of...
Article
Full-text available
Virtual reality (VR) and 3D modeling technologies have become increasingly powerful tools for multiple fields, such as education, architecture, and cultural heritage. Museums are no longer places for only placing and exhibiting collections and artworks. They use such technologies to offer a new way of communicating art and history with their visito...
Preprint
Full-text available
Recent advances in 3D scanning technology have enabled the deployment of 3D models in various industrial applications like digital twins, remote inspection and reverse engineering. Despite their evolving performance, 3D scanners, still introduce noise and artifacts in the acquired dense models. In this work, we propose a fast and robust denoising m...
Preprint
Full-text available
3D representations of highly deformable 3D models, such as dynamic 3D meshes, have recently become very popular due to their wide applicability in various domains. This trend inevitably leads to a demand for storage and transmission of voluminous data sets, making the need for the design of a robust and reliable compression scheme a necessity. In t...
Conference Paper
Full-text available
Quality of life and wellness are heavily affected by sleep health, especially for older people who choose to remain active in the workforce. Workability and efficiency are correlated to sleep quality. Several non- automated sleep assessment tools have been used by professionals in the healthcare industry. These tools may rely on the user report of...
Conference Paper
Full-text available
Cholesterol is a crucial risk factor for cardiovascular diseases (CVDs) which in their turn are among the main causes of death worldwide and public health concerns, with heart diseases being the most prevalent ones. For cholesterol control, early prediction is considered one of the most effective ways. Utilizing the English Longitudinal Study of Ag...
Conference Paper
Full-text available
Synchronous office working environments are characterized by a high diversity of expertise and skills requirements during a product or service development. However, without the cooperation and optimal skills pairing among the employees, the success of a project may be negatively impacted. To take full advantage of the potential of each employee, pr...
Conference Paper
3D representations of highly deformable 3D models, such as dynamic 3D meshes, have recently become very popular due to their wide applicability in various domains. This trend inevitably leads to a demand for storage and transmission of voluminous data sets, making the need for the design of a robust and reliable compression scheme a necessity. In t...
Conference Paper
Full-text available
For individuals that already have been diagnosed with T2DM, accurate and timely prediction of blood glucose levels is critical to prevent hypoglycemic and hyperglycemic episodes. In clinical practice, continuous glucose monitoring (CGM) is used for the efficient management of glucose levels and, thus, diabetes. Several machine learning (ML) models...
Article
Full-text available
A steady rise has been observed in the percentage of elderly people who want and are still able to contribute to society. Therefore, early retirement or exit from the labour market, due to healthrelated issues, poses a significant problem. Nowadays, thanks to technological advances and various data from different populations, the risk factors inves...
Preprint
Full-text available
Cyber Physical Systems have been going into a transition phase from individual systems to a collecttives of systems that collaborate in order to achieve a highly complex cause, realizing a system of systems approach. The automotive domain has been making a transition to the system of system approach aiming to provide a series of emergent functional...
Article
The rapid development of 3D acquisition devices enables us to collect billions of points in a few hours. However, the analysis of the output data is a challenging task, especially in the field of 3D point cloud change detection. In this Shape Retrieval Challenge (SHREC) track, we provide a street-scene dataset for 3D point cloud change detection. T...
Preprint
Full-text available
Anterior Cruciate Ligament (ACL) tear is one of the most common knee injuries. The ACL reconstruction surgery aims to restore healthy knee function by replacing the injured ligament with a graft. Proper selection of the optimal surgery parameters is a complex task. To this end, we developed an automated modeling framework that accepts subject-speci...
Article
Full-text available
The new generation 3D scanner devices have revolutionized the way information from 3D objects is acquired, making the process of scene capturing and digitization straightforward. However, the effectiveness and robustness of conventional algorithms for real scene analysis are usually deteriorated due to challenging conditions, such as noise, low res...
Article
This paper presents the methods that have participated in the SHREC 2021 contest on retrieval and classification of protein surfaces on the basis of their geometry and physicochemical properties. The goal of the contest is to assess the capability of different computational approaches to identify different conformations of the same protein, or the...
Preprint
Full-text available
This paper presents the methods that have participated in the SHREC 2021 contest on retrieval and classification of protein surfaces on the basis of their geometry and physicochemical properties. The goal of the contest is to assess the capability of different computational approaches to identify different conformations of the same protein, or the...
Article
Full-text available
The main goal of the H2020-CARAMEL project is to address the cybersecurity gaps introduced by the new technological domains adopted by modern vehicles applying, among others, advanced Artificial Intelligence and Machine Learning techniques. As a result, CARAMEL enhances the protection against threats related to automated driving, smart charging of...
Article
Full-text available
This study presents a semi-automatic framework to create subject-specific total knee replacement finite element models, which can be used to analyze locomotion patterns and evaluate knee dynamics. In recent years, much scientific attention was attracted to pre-clinical optimization of customized total knee replacement operations through computation...
Article
Full-text available
The use of virtual reality (VR) techniques for industrial training provides a safe and cost effective solution that contributes to increased engagement and knowledge retention levels. However, the process of experiential learning in a virtual world without biophysical constraints might contribute to muscle strain and discomfort, if ergonomic risk f...
Article
Full-text available
This study aims to explore the possibility of estimating a multitude of kinematic and dynamic quantities using subject-specific musculoskeletal models in real-time. The framework was designed to operate with marker-based and inertial measurement units enabling extensions far beyond dedicated motion capture laboratories. We present the technical det...
Article
Simultaneous localization and mapping (SLAM) refers to the problem of mapping an environment using measurements from mobile sensors while simultaneously estimating the motion of those sensors relative to the map Modular architectures are required to enable the commoditization and fast penetration of SLAMs in the emerging mobile computing systems.
Preprint
Full-text available
This study aims to explore the possibility of estimating a multitude of kinematic and dynamic quantities using subject-specific musculoskeletal models in real-time. The framework was designed to operate with marker-based and inertial measurement units enabling extensions far beyond dedicated motion capture laboratories. We present the technical det...
Preprint
Full-text available
This study aims to explore the possibility of estimating a multitude of kinematic and dynamic quantities using subject-specific musculoskeletal models in real-time. The framework was designed to operate with marker-based and inertial measurement units enabling extensions far beyond dedicated motion capture laboratories. We present the technical det...
Article
The incorporation of a-priori knowledge on the shape of anatomical structures and their variation through Statistical Shape Models (SSMs) has shown to be very effective in guiding highly uncertain image segmentation problems. In this paper, we construct multiple-structure SSMs of purely geometric nature, that describe the relationship between adjac...
Chapter
Europe is being severely challenged by the ageing of the population, with the unemployment among older people posing tremendous strain on social and health care services systems. The SmartWork project builds a worker-centric AI system for work ability sustainability, which integrates unobtrusive sensing and modelling of the worker state with a suit...
Article
Full-text available
Conventional biomechanical modelling approaches involve the solution of large systems of equations that encode the complex mathematical representation of human motion and skeletal structure. To improve stability and computational speed, being a common bottleneck in current approaches, we apply machine learning to train surrogate models and to predi...
Preprint
During the last years, the emerging field of Augmented & Virtual Reality (AR-VR) has seen tremendousgrowth. At the same time there is a trend to develop low cost high-quality AR systems where computing poweris in demand. Feature points are extensively used in these real-time frame-rate and 3D applications, thereforeefficient high-speed feature dete...
Preprint
As road transportation has been identified as a major contributor of environmental pollution, motivating individuals to adopt a more eco-friendly driving style could have a substantial ecological as well as financial benefit. With gamification being an effective tool towards guiding targeted behavioural changes, the development of realistic framewo...
Article
Full-text available
Nowadays, the preservation and maintenance of historical objects is the main priority in the area of the heritage culture. The new generation of 3D scanning devices and the new assets of technological improvements have created a fertile ground for developing tools that could facilitate challenging tasks which traditionally required a huge amount of...
Conference Paper
The quantitative analysis of the distribution of the different types of sands, gravels and cobbles shaping river beds is a very important task performed by hydrologists to derive useful information on fluvial dynamics and related processes (e.g., hydraulic resistance, sediment transport and erosion, habitat suitability. As the methods currently emp...
Conference Paper
Feature extraction from 3D triangle meshes is a very popular and important task that could contribute to many scientific fields such as computer vision, pattern recognition, medical 3D modeling, etc. However, the main challenge is not just finding corners and edges of 3D models but to automatically extract connected clusters of vertices that jointl...