Detection of Mistaken Foldings Based on Region Change of Origami Paper
This paper proposes an approach to detect mistaken foldings in computer-aided origami by using a single top-view camera. The position of the origami paper is continually tracked by matching the shape of the paper with the state model of the folding process. Further, the change of the shape is also grasped, and the folder’s mistake is pointed out online. In this paper, first, we define the change ratio of the shape of the paper to measure the progress of foldings. Next, a criterion expressing the degree of difference from the correct shape is introduced to detect the mistake. Finally, threshold measurements for those criteria are investigated. Several experimental results showed the validity of our approach.
KeywordsComputer-aided origami Mistake detection Single camera Top-view image Augmented reality (AR)
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