Three dimensional modeling and production using two dimensional images of objects

The widespread adoption of 3D printers has accelerated academic and industrial research in both software and manufacturing sectors, focusing on 3D modeling and production. To produce any item using 3D printers, a model is required. As it has become possible to see three-dimensional printers in almost every sector where production is carried out, three-dimensional modeling is also becoming widespread at the same rate. The advancement and progress in the field of 3D modeling have resulted in increased diversity in modeling techniques. Innovations in the software industry have made the process of obtaining 3D models of objects through scanning or photography increasingly efficient. 3D modeling is a process that involves digitally transferring objects into a three-dimensional environment, and the developments in this field have diverse implications for various industries. Currently, 3D scanning is positioned as a process that requires professional equipment, incurring high costs and demanding expertise. This study focuses on innovative technologies such as 3D modeling and 3D printers in the context of rapidly advancing technological developments. The aim of the study is to create a three-dimensional model from images obtained through commonly used tools like a mobile phone camera or basic image acquisition devices and subsequently produce the model using a 3D printer. For this purpose, objects with different geometric shapes were selected. Those that could be drawn with basic drawing skills were manually drawn to create the models with accurate dimensions. Additionally, advanced drawing skills or objects with challenging drawings were modeled in three dimensions using software developed within the scope of this study. The obtained models were then produced using FDM and SLA type printers. In order to assess the similarity between the drawn models and the produced objects, image processing techniques were employed. Upon evaluating the products based on their drawings, an approximate similarity rate of 95.17% was determined. When comparing the produced objects with the original ones, a similarity rate of approximately 94.38% was identified. The average similarity rate calculated at the end of all evaluations is approximately 94.77%.