Date of Graduation
Bachelor of Science
Computer Science and Computer Engineering
Thompson, Craig W.
Deaton, Russell J.
Committee Member/Second Reader
Gauch, John M.
This thesis explores a new approach to computational object recognition by borrowing an idea from child language acquisition studies in developmental psychology. Whereas previous image recognition research used shape to recognize and label a target object, the model proposed in this thesis also uses the function of the object resulting in a more accurate recognition. This thesis makes use of new gaming technology, Microsoftâ€™s Kinect, in implementing the proposed new object recognition model. A demonstration of the model developed in this project properly infers different names for similarly shaped objects and the same name for differently shaped objects.
Eguchi, A. (2011). Object recognition based on shape and function. Computer Science and Computer Engineering Undergraduate Honors Theses Retrieved from https://scholarworks.uark.edu/csceuht/1