Title :
Ray path categorization
Author :
Ehab, Diegon ; Gattass, Marcelo
Author_Institution :
Grupo de Tecnologia em Computacao Grafica, Rio de Janeiro, Brazil
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);
Conference_Titel :
Computer Graphics and Image Processing, 2000. Proceedings XIII Brazilian Symposium on
Conference_Location :
Gramado
Print_ISBN :
0-7695-0878-2
DOI :
10.1109/SIBGRA.2000.883917