Abstract:
3D modeling is one of the most frequently used application of computer vision in the present
times. The most important step in the process of 3D modeling is surface reconstruction. In
the field of biomedical engineering, surface reconstruction finds an important application in
orthodontics. It can be used to create 3D models of dentures using medical imaging
techniques such as X-rays, MRI (Magnetic Resonance Imaging) and CT (Computed
Tomography) scan as input data. These 3D models help the dentists in effective visualization,
diagnosis and surgery planning. This research focuses on creating 3D models using a novel
dataset and then comparing the results of reconstruction with the 3D models obtained using
two freely available open-source algorithm for 3D reconstruction using the same dataset. The
results are compared using both qualitative and quantitative methods. In this way, an effective
3D reconstruction algorithm is developed and tested that reconstructs efficient 3D models
with the least errors.
