Philip Azariadis

Prof. Dr. Philip Azariadis

Industrial Design & Production Engineering, Univercity of West Attica, Athens, Attikí, Greece
orcid

Research Focus & Metrics

Academic Career Length

30Years (1997-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 January 2007 in Computer-Aided Design and Applications
Verified
Journal Article
Closed access
AAAlexandros Agathos
Alexandros Agathos
IPIoannis Pratikakis
Ioannis Pratikakis
SPStavros Perantonis
Stavros Perantonis
NSNikolaos Sapidis
Nikolaos Sapidis
Philip AzariadisPhilip Azariadis
Philip Azariadis
3D mesh segmentation is a fundamental process for Digital Shape Reconstruction in a variety of applications including Reverse Engineering, Medical Imaging, etc. It is used to provide a high level representation of the raw 3D data which is required for CAD, CAM and CAE. In this paper, we present an exhaustive overview of 3D mesh segmentation methodologies examining their suitability for CAD models. In particular, a classification of the various methods is given based on their corresponding underlying fundamental methodology concept as well as on the distinct criteria and features used in the segmentation process.

1 October 1997 in Computer-Aided Design
Verified
Journal Article
Closed access
Philip AzariadisPhilip Azariadis
Philip Azariadis
NANikos Aspragathos
Nikos Aspragathos

1 January 2011 in Robotics and Autonomous Systems
Verified
Journal Article
Closed access
EXElias Xidias
Elias Xidias
Philip AzariadisPhilip Azariadis
Philip Azariadis

30 June 2004 in Computer-Aided Design
Verified
Journal Article
Closed access
Philip AzariadisPhilip Azariadis
Philip Azariadis

12 August 2010 in The Visual Computer
Verified
Journal Article
Closed access
PDF file
AAAlexandros Agathos
Alexandros Agathos
Ioannis PratikakisIoannis Pratikakis
Ioannis Pratikakis
PPPanagiotis Papadakis
Panagiotis Papadakis
SPStavros Perantonis
Stavros Perantonis
Philip AzariadisPhilip Azariadis
Philip Azariadis
NSNickolas S. Sapidis
Nickolas S. Sapidis

2 March 2010 in International Journal of Clothing Science and Technology
Verified
Journal Article
Closed access
PDF file
MMMaria L. Mpampa
Maria L. Mpampa
Philip AzariadisPhilip Azariadis
Philip Azariadis
NSNickolas S. Sapidis
Nickolas S. Sapidis
Purpose – The purpose of this paper is to derive a new method for developing sizing systems for the mass customization of garments. Design/methodology/approach – A range of recently published works has been studied. A new method is derived by following a basic statistical analysis on anthropometric data which are supported by an iterative mass customization model and introduced “satisfaction performance” indices. The derived method is applied successfully to an anthropometric data consisting of 12,810 Greek men. Findings – With the proposed method, it is possible to control the degree of mass customization and the corresponding number of garment sizes. Under this way, a balance between the number of sizes (in other words: production cost) and the percentage satisfaction of consumers can be achieved. The proposed method consists of six subsequent tasks which are applied to the target population data for the development of mass customization models for male shirts, coats and trousers. Research limitations/implications – Future work could be focused on the development of methods for the automatic garments grading with respect to the proposed mass customization models and practise. Originality/value – The methodology presented in this paper can be applied to the development of mass customization models for other categories of garments and target population.