| Autor: |
JIANG Yan-na, XIAO Bo-xiang, GUO Xin-yu, YANG Bao-zhu |
| Předmět: |
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| Zdroj: |
Journal of Agricultural Science & Technology (1008-0864); 2015, Vol. 17 Issue 1, p115-121, 7p |
| Abstrakt: |
Plant animation synthesis is a research hotspot nowadays. Extraction and reconstruction of plant motion information are basic and key works in computer to realize efficient and realistic plant animation synthesis. Taking maize as research object, video sequence of real plant motion was captured and converted into image sequences and then several key frames were selected. By studying digital image processing algorithms, image foreground object was extract, and a clear and complete binary skeleton image of plant was get through thinning and deburring the target. Based on the plant skeleton images, an approach to extract plant animation feature points data were proposed. Finally the extracted plant animation feature points were mapped to 3 dimensional plant models and data-driven plant animation synthesis was realized. These experimental results showed the validity and effectiveness of this method. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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