Dissertation defense - Erdem Can Irmak

Graduate School of Informatics /Game Technologies 

In partial fulfillment of the requirements for the degree of Master of Science Erdem Can Irmak will defend his thesis.


Date: 13th June 2017

Time: 11:00 AM

Place: A-212

Thesis Abstract : In this thesis, a novel 3D indirect shape analysis method is presented which successfully retrieves 3D shapes based on the hand-object interaction. In the first part of the study, the human hand information is processed and transferred to the virtual environment by Leap Motion Controller. Position and rotation of the hand, the angle of the finger joints are used for this part in our method. Also, in this approach, a new type of feature is implemented which is called interaction point. These points are placed on the digital hand model and indicate whether the hand touches the 3D shape or not. In the second part, every 3D shape is represented by applying hand features to the Support Vector Machine. Experiments validate that Support Vector Machine results are usable for retrieval of 3D shapes. Moreover, in order to compare the retrieval results of this method, another interaction based indirect analysis method is implemented using Data Gloves. These two experiment results show which features are significant for retrieving the corresponding 3D shapes. The main contribution of this thesis is threefold: i) Noisy and/or deficient 3d shapes can be retrieved ii) The retrieval is not affected by the alignment of shape iii) Performance of the method is independent of the polygon count of the shape.