This paper 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 study added the function of the object resulting in a more accurate recognition. This study makes use of new gaming technology, Microsoft’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. (2012). Object Recognition Based on Shape and Function: Inspired by Children's Word Acquisition. Inquiry: The University of Arkansas Undergraduate Research Journal, 13(1). Retrieved from https://scholarworks.uark.edu/inquiry/vol13/iss1/6