DocumentCode :
1247797
Title :
A method to generate soft shadows using a layered depth image and warping
Author :
Im, Yeon-Ho ; Han, Chang-Young ; Kim, Lee-Sup
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea
Volume :
11
Issue :
3
fYear :
2005
Firstpage :
265
Lastpage :
272
Abstract :
We present an image-based method for propagating area light illumination through a layered depth image (LDI) to generate soft shadows from opaque and nonrefractive transparent objects. In our approach, using the depth peeling technique, we render an LDI from a reference light sample on a planar light source. Light illumination of all pixels in an LDI is then determined for all the other sample points via warping, an image-based rendering technique, which approximates ray tracing in our method. We use an image-warping equation and McMillan´s warp ordering algorithm to find the intersections between rays and polygons and to find the order of intersections. Experiments for opaque and nonrefractive transparent objects are presented. Results indicate our approach generates soft shadows fast and effectively. Advantages and disadvantages of the proposed method are also discussed.
Keywords :
ray tracing; rendering (computer graphics); McMillan warp ordering algorithm; area light illumination propagation; depth peeling technique; image pixels; image sampling; image shadowing; image-based rendering technique; image-warping equation; layered depth image; light illumination; nonrefractive transparent object; opaque object; ray tracing; soft shadows; Equations; Image generation; Layout; Light sources; Lighting; Optical propagation; Page description languages; Pixel; Ray tracing; Rendering (computer graphics); Index Terms- Image-based rendering; shadowing; soft shadows.; Algorithms; Artificial Intelligence; Computer Graphics; Image Enhancement; Image Interpretation, Computer-Assisted; Imaging, Three-Dimensional; Information Storage and Retrieval; Light; Numerical Analysis, Computer-Assisted; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Subtraction Technique; User-Computer Interface;
fLanguage :
English
Journal_Title :
Visualization and Computer Graphics, IEEE Transactions on
Publisher :
ieee
ISSN :
1077-2626
Type :
jour
DOI :
10.1109/TVCG.2005.37
Filename :
1407859
Link To Document :
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