Title :
Templated marching cubes — A low computation approach to surface rendering
Author :
Manikandtan, C.K. ; Resmi, S. ; Sibi, S. ; Kumar, R. Raja ; Harikumaran Nair, G.S.
Author_Institution :
Health & Software Technol. Group, Centre for Dev. of Adv. Comput. Thiruvananthapuram, Thiruvananthapuram, India
Abstract :
Surface generation from high resolution datasets using triangulation algorithms like marching cubes require large amounts of computational time for the generation and interpolation of vertices. Here we propose a templated method of generating triangles which has far less computation involved and saves on CPU cycles and memory. Each cube orientation corresponding to the boundary cases in the original algorithm is listed in a prebuilt table of templated triangles. The template created using binary input may be further smoothened using cost functions related to input image data.
Keywords :
computational complexity; computational geometry; image matching; rendering (computer graphics); CPU cycles; CPU memory; boundary cases; computational time; cost function; cube orientation; input image data; interpolation; resolution datasets; surface generation; surface rendering; templated marching cubes; templated triangles; triangulation algorithms; Biomedical imaging; Computational modeling; Data models; Interpolation; Isosurfaces; Standards; Marching cubes; iso-surface; medical modelling; templated cubes; triangle reduction;
Conference_Titel :
Intelligent Computational Systems (RAICS), 2013 IEEE Recent Advances in
Conference_Location :
Trivandrum
Print_ISBN :
978-1-4799-2177-5
DOI :
10.1109/RAICS.2013.6745485