Název: | 3D Human Animation from 2D Monocular Data Based on Motion Trend Prediction |
Autoři: | Zhang, Li Li, Ling |
Citace zdrojového dokumentu: | WSCG '2006: Short Papers Proceedings: The 14-th International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision 2006: University of West Bohemia, Plzen, Czech Republic, January 31 - February 2, 2006, p. 117-124. |
Datum vydání: | 2006 |
Nakladatel: | Václav Skala - UNION Agency |
Typ dokumentu: | konferenční příspěvek conferenceObject |
URI: | http://wscg.zcu.cz/WSCG2006/Papers_2006/Short/!WSCG2006_Short_Proceedings_Final.pdf http://hdl.handle.net/11025/6605 |
ISBN: | 80-86943-05-4 |
Klíčová slova: | animace člověka;3D rekonstrukce pohybu |
Klíčová slova v dalším jazyce: | human animation;3D motion reconstruction |
Abstrakt: | A model-based method is proposed in this paper for 3-dimensional human motion recovery, taking un-calibrated monocular data as input. The proposed method is able to generate smooth human motions that resemble the original motion from the same viewpoint the sequence was taken, and look continuous from any other viewpoint. The core of the proposed system is the motion trend prediction for reconstruction. To focus the research effort on motion reconstruction, “synthesized” input is first employed to ensure that the reconstruction algorithm is developed and evaluated accurately. Experiment results on real video data indicate that the proposed method is able to recover human motion from un-calibrated 2D monocular images with very high accuracy. |
Práva: | © Václav Skala - UNION Agency |
Vyskytuje se v kolekcích: | WSCG '2006: Short Papers Proceedings |
Soubory připojené k záznamu:
Soubor | Popis | Velikost | Formát | |
---|---|---|---|---|
Li_Zhang.pdf | Plný text | 456,26 kB | Adobe PDF | Zobrazit/otevřít |
Použijte tento identifikátor k citaci nebo jako odkaz na tento záznam:
http://hdl.handle.net/11025/6605
Všechny záznamy v DSpace jsou chráněny autorskými právy, všechna práva vyhrazena.