Date of Graduation


Document Type


Degree Name

Master of Science in Computer Science (MS)

Degree Level



Computer Science & Computer Engineering


John Gauch

Committee Member

Craig Thompson

Second Committee Member

David Andrews


Applied sciences, Computer vision, Kinect, Scene reconstruction


The Microsoft Kinect represents a leap forward in the form of cheap, consumer friendly, depth sensing cameras. Through the use of the depth information as well as the accompanying RGB camera image, it becomes possible to represent the scene, what the camera sees, as a three-dimensional geometric model. In this thesis, we explore how to obtain useful data from the Kinect, and how to use it for the creation of a three-dimensional geometric model of the scene. We develop and test multiple ways of improving the depth information received from the Kinect, in order to create smoother three-dimensional models. We use OpenGL to create a polygonal model combining the RGB camera image and depth values. Finally we explore the possibility of combining the three-dimensional models from two Kinects to create a better representation of the scene.