Open AccessA Photographic Composition Assistant for Intelligent Virtual 3D Camera Systems
Author(s) -
William Bares
Publication year - 2006
Publication title -
lecture notes in computer science
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.249
H-Index - 400
eISSN - 1611-3349
pISSN - 0302-9743
DOI - 10.1007/11795018_16
Subject(s) - panning (audio) , computer science , zoom , computer vision , artificial intelligence , frame (networking) , computer graphics (images) , composition (language) , matching (statistics) , process (computing) , interval (graph theory) , translation (biology) , lens (geology) , mathematics , art , telecommunications , statistics , biochemistry , chemistry , literature , combinatorics , messenger rna , gene , operating system , petroleum engineering , engineering
A human photographer can frame an image and enhance its composi- tion by visualizing how elements in the frame could be better sized or posi- tioned. The photographer resizes elements in the frame by changing the zoom lens or by varying his or her distance to the subject. The photographer moves elements by panning. An intelligent virtual photographer can apply a similar process. Given an initial 3D camera view, a user or application specifies high- level composition goals such as Rule of Thirds or balance. Each objective de- fines either a One-D interval for image scaling or a Two-D interval for transla- tion. Two-D projections of objects are translated and scaled in the frame ac- cording to computed optima. These Two-D scales and translates are mapped to matching changes in the 3D field of view (zoom), dolly-in or out varying sub- ject distance, and rotating the aim direction to improve the composition.
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