has no access to any characters written by the calligraphist (X0); and facsimiled results when our algorithm has learned 10, 20 and 40 characters
written by the calligraphist as training samples, denoted as X10, X20, X40 respectively.
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I. Analyzing the faithfulness of our algorithm's facsimile capability
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| The columns from left to right respectively correspond to
the original handwriting by a calligraphist (Xo), facsimiled results when
our algorithm has no access to any characters written by the calligraphist (X0); and facsimiled results when our algorithm has learned 10, 20 and 40 characters written by the calligraphist as training samples, denoted as X10, X20, X40 respectively. |
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II. Results of phrase-facsimileing experiments
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The sample characters in the personal handwriting database, shown for the first example below.
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| The facsimile result in the second row, compared with the original handwriting in the first row |
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| The facsimile result in the second row, compared with the original handwriting in the first row |
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| The facsimile result in the second row, compared with the original handwriting in the first row |
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| The facsimile result in the second row, compared with the original handwriting in the first row |
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III. Results of poem-facsimileing experiments
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| (I) First half part of a poem, originally written by a calligraphist and used as our training samples |
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| (II) Second half part of the poem, facsimiled by our algorithm |
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| (III) Second half part of the poem, originally written by the same calligraphist, as groundtruth data for comparison |
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IV. The User surveys to verify our algorithm's performance
Please go to the websites for the user surveys:
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