2D Photo Converter: Modeling 3D Objects from 2D Photos Using OpenGL

The concept of modeling a 3D object based on 2D photos has indeed been widely
discussed and researched among the computer vision professionals and virtual reality
technologists. However, regardless of the many researches going on and the rapid
technological development in 3D modeling world, the best method to render a 3D
model that satisfies the requirement of minimum image pre-processing, maximum
model-realism and minimum error percentage is yet to be studied. This report will lay
out another technique of modeling 3D objects using a 2D photo by analyzing the
possibility and accuracy of light intensity evaluation towards the model.
The main objective of this study is to propose an alternative solution to 3D modeling
techniques by using the information from a 2D photo. It is hoped that by applying the
proposed solution, the constraint of costs and time in the current 3D modeling system
could be reduced. The research focuses on bitmap photos and it applies the principles of
light intensity and distance relativity in estimating the depth volume of the model. The
application is built by using Microsoft Visual C++ 6.0 and utilizes OpenGL Application
Programming Interface (API) in its code.
However, the results of the experiments conducted in this research study shows that the
formula used in the application might not be the best method to produce a 3D model
from a 2D photo. Nonetheless, the idea of using light intensity valuations in producing
3D models could be the new solution in 3D modeling technology. The framework
design and the ideas could be the base research for further development in the 3D
modeling research and analysis study.