A Hybrid Framework for Matching Printing Design Files to Product Photos

Kaplan, Alper
Akagündüz, Erdem


A script based modular game engine framework for augmented reality applications
Kuru, Muhammed Furkan; Can, Tolga; Department of Computer Engineering (2009)
Augmented Reality (AR) is a technology which blends virtual and real worlds. The technology has various potential application domains such as broadcasting, architecture, manufacturing, and entertainment. As the tempting developments in AR technology continues, the solutions for rapid creation of AR applications become crucial. This thesis presents an AR application development framework with scripting capability as a solution for rapid application development and rapid prototyping in AR. The proposed AR fra...
A distributed graph mining framework based on mapreduce
Alkan, Sertan; Can, Tolga; Department of Computer Engineering (2010)
The frequent patterns hidden in a graph can reveal crucial information about the network the graph represents. Existing techniques to mine the frequent subgraphs in a graph database generally rely on the premise that the data can be fit into main memory of the device that the computation takes place. Even though there are some algorithms that are designed using highly optimized methods to some extent, many lack the solution to the problem of scalability. In this thesis work, our aim is to find and enumerate...
A component based workflow management system for enacting processes defined in XML
Yarımağan, Yalın; Doğaç, Asuman; Department of Computer Engineering (2000)
A Self-Supervised Decision Fusion Framework for Building Detection
Senaras, Caglar; Yarman Vural, Fatoş Tunay (2016-05-01)
In this study, a new building detection framework for monocular satellite images, called self-supervised decision fusion (SSDF) is proposed. The model is based on the idea of self-supervision, which aims to generate training data automatically from each individual test image, without human interaction. This approach allows us to use the advantages of the supervised classifiers in a fully automated framework. We combine our previous supervised and unsupervised building detection frameworks to suggest a self-...
A programming framework to implement rule-based target detection in images
Şahin, Yavuz; Atalay, Mehmet Volkan; Department of Computer Engineering (2008)
An expert system is useful when conventional programming techniques fall short of capturing human expert knowledge and making decisions using this information. In this study, we describe a framework for capturing expert knowledge under a decision tree form and this framework can be used for making decisions based on captured knowledge. The framework proposed in this study is generic and can be used to create domain specific expert systems for different problems. Features are created or processed by the node...
Citation Formats
A. Kaplan and E. Akagündüz, “A Hybrid Framework for Matching Printing Design Files to Product Photos,” Balkan Journal of Electrical and Computer Engineering, vol. 8, no. 2, pp. 170–180, 2020, Accessed: 00, 2021. [Online]. Available: https://dergipark.org.tr/tr/pub/bajece/issue/54349/677326.