Yazıcı, Rıfat

Profile URL
https://hdl.handle.net/20.500.14627/1239
Name Variants
Yazici, Rifat Yazici, R. Yazici, R
Job Title
Prof. Dr.
Email Address
rifat.yazici@fbu.edu.tr
Main Affiliation
BİLGİSAYAR MÜHENDİSLİĞİ BÖLÜMÜ
Status
Former Staff
Website
ORCID ID
0000-0003-0670-8803
Scopus Author ID
15836113800
Turkish CoHE Profile ID
Google Scholar ID
KuHkhX4AAAAJ
WoS Researcher ID
EHS-6415-2022

Research Topics

Domains
Physical Sciences
Fields
EngineeringComputer Science
Subfields
Computational MechanicsComputer Vision and Pattern RecognitionArtificial Intelligence
Specific Research Areas
3D Shape Modeling and Analysis
Advanced Steganography and Watermarking Techniques
Chaos-based Image/Signal Encryption
Neural Networks and Applications
Advanced Numerical Analysis Techniques

Sustainable Development Goals

SDG data is not available

Publication Collaboration

Affiliation Name Count
Istanbul Commerce University 10
Karadeniz Technical University 3
Bursa Technical University 1
Fenerbahçe University 1
Samsun University 1
1 / 2
Data obtained from OpenAlex
Scholarly Output

1

Articles

1

WoS Citation Count

0

Scopus Citation Count

0

Filters

20251

Settings

Author of Publication: search.filters.isAuthorOfPublication.c53d81cf-5211-4e3e-ad87-81d05fa8e46c

Scholarly Output Search Results

Now showing 1 - 1 of 1
  • Article
    Accelerated Planar Development of Convex Free-Form Mesh Patches Using a Variable Step-Size Energy Dissipation Approach
    (Sciendo, 2025) Yavuz, Erdem; Yazici, Rifat
    Free-form complex surfaces are prevalent in modern graphic applications. With the increasing prevalence of complex 3D surfaces enabled by advances in range scanning and 3D printing technologies, minimising parameterization times for large meshes has become crucial. This paper proposes an efficient approach for the planar development of convex free-form mesh patches using an improved energy-based technique with a variable step-size algorithm. Building upon the energy model of Wang et al., our study addresses the limitations of conventional energy dissipation algorithms, which employ fixed step sizes. The proposed variable step-size method, particularly suitable for convex or disk-shaped mesh surfaces, dynamically adjusts steps, significantly reducing energy dissipation iterations. Leveraging our previous geometric flattening method, we further enhance planar surface development using an advanced mass-spring-based approach. Here, we show that our method accelerates the mechanical flattening process while maintaining high accuracy, achieving a shape error of 0.400 and an area error of 0.147 after 36 iterations for the Surf1 patch, reducing the required iterations by nearly half compared to the fixed step-size method. This study contributes to advancing the field of surface parameterization and flattening, with potential applications in various industries.