A model-based approach for recognizing folding process of origami

This paper describes an approach for recognition the folding process of origami by interpreting a series of graphics images. Our approach is based on a 3D internal model created during the recognition process. The output of image analysis is matched to a 2D projection of the model such that the contents of folding operations can be identified. The recognized folding operations are used to update the model for further interpretation and recognition. The effectiveness in our approach is illustrated by means of folding process “cicada”