東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Video input driven animation (VIDA).

Sun, Meng.

FindBook

Google Book

Amazon

博客來

Video input driven animation (VIDA).

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Video input driven animation (VIDA)./
作者:	Sun, Meng.
面頁冊數:	184 p.
附註:	Source: Dissertation Abstracts International, Volume: 64-04, Section: B, page: 1802.
Contained By:	Dissertation Abstracts International64-04B.
標題:	Computer Science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoeng/servlet/advanced?query=NQ78030
ISBN:	0612780309

Video input driven animation (VIDA).
Sun, Meng.

Video input driven animation (VIDA). - 184 p.

Source: Dissertation Abstracts International, Volume: 64-04, Section: B, page: 1802.

Thesis (Ph.D.)--University of Toronto (Canada), 2003.

There are many challenges associated with the integration of synthetic and real imagery. One particularly difficult problem is the automatic extraction of salient parameters of natural phenomena in real video footage for subsequent application to synthetic objects. Can we ensure that the hair and clothing of a synthetic actor placed in a meadow of swaying grass will move consistently with the wind that moved that grass? The video footage can be seen as a controller for the motion of synthetic features, a concept we call <italic>video input driven animation</italic> (VIDA). We propose a schema that analyzes an input video sequence, extracts parameters from the motion of objects in the video; and uses this information to drive the motion of synthetic objects. To validate the principles of VIDA; we approximate the inverse problem to harmonic oscillation, which we use to extract parameters of wind and of regular water waves. We observe the effect of wind on a tree in a video; estimate wind speed parameters from its motion; and then use this to make synthetic objects move. We also extract water elevation parameters from the observed motion of boats and apply the resulting water waves to synthetic boats.

ISBN: 0612780309Subjects--Topical Terms:

626642
Computer Science.

Video input driven animation (VIDA).
LDR:02043nmm 2200265 4500 001 1856333
005 20040701120924.5
008 130614s2003 eng d
020 $a 0612780309
035 $a (UnM)AAINQ78030
035 $a AAINQ78030
040 $a UnM $c UnM
100 1 $a Sun, Meng. $3 1677766
245 1 0 $a Video input driven animation (VIDA).
300 $a 184 p.
500 $a Source: Dissertation Abstracts International, Volume: 64-04, Section: B, page: 1802.
500 $a Adviser: Eugene Fiume.
502 $a Thesis (Ph.D.)--University of Toronto (Canada), 2003.
520 $a There are many challenges associated with the integration of synthetic and real imagery. One particularly difficult problem is the automatic extraction of salient parameters of natural phenomena in real video footage for subsequent application to synthetic objects. Can we ensure that the hair and clothing of a synthetic actor placed in a meadow of swaying grass will move consistently with the wind that moved that grass? The video footage can be seen as a controller for the motion of synthetic features, a concept we call <italic>video input driven animation</italic> (VIDA). We propose a schema that analyzes an input video sequence, extracts parameters from the motion of objects in the video; and uses this information to drive the motion of synthetic objects. To validate the principles of VIDA; we approximate the inverse problem to harmonic oscillation, which we use to extract parameters of wind and of regular water waves. We observe the effect of wind on a tree in a video; estimate wind speed parameters from its motion; and then use this to make synthetic objects move. We also extract water elevation parameters from the observed motion of boats and apply the resulting water waves to synthetic boats.
590 $a School code: 0779.
650 4 $a Computer Science. $3 626642
690 $a 0984
710 2 0 $a University of Toronto (Canada). $3 1017674
773 0 $t Dissertation Abstracts International $g 64-04B.
790 1 0 $a Fiume, Eugene, $e advisor
790 $a 0779
791 $a Ph.D.
792 $a 2003
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoeng/servlet/advanced?query=NQ78030