DocumentCode
2627635
Title
Ray path categorization
Author
Ehab, Diegon ; Gattass, Marcelo
Author_Institution
Grupo de Tecnologia em Computacao Grafica, Rio de Janeiro, Brazil
fYear
2000
fDate
2000
Firstpage
227
Lastpage
234
Abstract
Edge detection and image segmentation algorithms usually operate on an image to extract geometrical information based on pixel colors. For ray-traced images, the presence of geometrical information on the scene from which the image was rendered allows for a completely different approach. We present an algorithm that divides rays into equivalence classes, or categories. The category information is generated during the rendering process and used to determine edges in the resulting image. Detected edges can later be used to help determine areas subject to aliasing. Little effort is needed to implement the described algorithms over an existing ray tracer. Furthermore, the extra computational and memory requirements are modest
Keywords
category theory; edge detection; equivalence classes; image segmentation; ray tracing; rendering (computer graphics); aliasing; category information; detected edges; edge detection; equivalence classes; geometrical information; geometrical information extraction; image rendering; image segmentation algorithms; memory requirements; pixel colors; ray path categorization; ray tracer; ray-traced images; rendering process; Cameras; Equations; Image edge detection; Image segmentation; Layout; Light sources; Lighting; Optical reflection; Pixel; Rendering (computer graphics);
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Graphics and Image Processing, 2000. Proceedings XIII Brazilian Symposium on
Conference_Location
Gramado
ISSN
1530-1834
Print_ISBN
0-7695-0878-2
Type
conf
DOI
10.1109/SIBGRA.2000.883917
Filename
883917
Link To Document