6:20 PM - 6:40 PM
[2M5-J-10-04] A Study on Evaluation Model on Stroke Order Similarity
Keywords:sktch-rnn, stroke order, CASOOK
Since sketch is one of the most important creation by human, analysis of sketch drawing process by artificial intelligence is the essential topic. In this paper, we consider a computational model to evaluate the similarity of stroke order.
We have proposed CASOOK in order to realize communication between computers and humans. In this research, we are trying to develop CASOOK-SR which is extended CASOOK adopting sketch-rnn. Since evaluating stroke order similarity is a difficult problem, and there was only a method to evaluate the similarity of stroke order by persons. In this paper, we define an objective comparable evaluation function on similarity of stroke order.
In our experiment, the correlation coefficient between the function and the similarity evaluation values by a person were 0.344 and 0.446. It is found that our calculation model is the same as human evaluation when an image made from a stroke order matrix is similar to another.
We have proposed CASOOK in order to realize communication between computers and humans. In this research, we are trying to develop CASOOK-SR which is extended CASOOK adopting sketch-rnn. Since evaluating stroke order similarity is a difficult problem, and there was only a method to evaluate the similarity of stroke order by persons. In this paper, we define an objective comparable evaluation function on similarity of stroke order.
In our experiment, the correlation coefficient between the function and the similarity evaluation values by a person were 0.344 and 0.446. It is found that our calculation model is the same as human evaluation when an image made from a stroke order matrix is similar to another.