Detection of Edges and Approximation of Surfaces in the Use of Automatic Differentiation in Computer Graphics
Summary :
In the field of computer graphics (CG), some adaptive methods have been proposed in order to make CG images more real in relatively low computational cost. As one of such adaptive methods, in this paper, an adaptive method will be proposed for detection of edges and approximation of surfaces in the use of the so-called automatic differentiation. In the proposed method a CG image with high quality can be generated in suitable computational cost. In this paper, three cases will be considered. The first is an adaptive distributed ray tracing which can adaptively generate anti-aliased CG images in suitable computational cost. The second is a high quality triangular meshing, which guarantees accuracy of the generated meshes according to shape of given surface in suitable computational cost. The last case is used in the so-called radiosity method.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E85-A No.3 pp.558-565
- Publication Date
- 2002/03/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- Special Section INVITED PAPER (Special Section on the Trend of Digital Signal Processing and Its Future Direction)
- Category
- Applications
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Mitsunori MAKINO, "Detection of Edges and Approximation of Surfaces in the Use of Automatic Differentiation in Computer Graphics" in IEICE TRANSACTIONS on Fundamentals,
vol. E85-A, no. 3, pp. 558-565, March 2002, doi: .
Abstract: In the field of computer graphics (CG), some adaptive methods have been proposed in order to make CG images more real in relatively low computational cost. As one of such adaptive methods, in this paper, an adaptive method will be proposed for detection of edges and approximation of surfaces in the use of the so-called automatic differentiation. In the proposed method a CG image with high quality can be generated in suitable computational cost. In this paper, three cases will be considered. The first is an adaptive distributed ray tracing which can adaptively generate anti-aliased CG images in suitable computational cost. The second is a high quality triangular meshing, which guarantees accuracy of the generated meshes according to shape of given surface in suitable computational cost. The last case is used in the so-called radiosity method.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e85-a_3_558/_p
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@ARTICLE{e85-a_3_558,
author={Mitsunori MAKINO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Detection of Edges and Approximation of Surfaces in the Use of Automatic Differentiation in Computer Graphics},
year={2002},
volume={E85-A},
number={3},
pages={558-565},
abstract={In the field of computer graphics (CG), some adaptive methods have been proposed in order to make CG images more real in relatively low computational cost. As one of such adaptive methods, in this paper, an adaptive method will be proposed for detection of edges and approximation of surfaces in the use of the so-called automatic differentiation. In the proposed method a CG image with high quality can be generated in suitable computational cost. In this paper, three cases will be considered. The first is an adaptive distributed ray tracing which can adaptively generate anti-aliased CG images in suitable computational cost. The second is a high quality triangular meshing, which guarantees accuracy of the generated meshes according to shape of given surface in suitable computational cost. The last case is used in the so-called radiosity method.},
keywords={},
doi={},
ISSN={},
month={March},}
Copy
TY - JOUR
TI - Detection of Edges and Approximation of Surfaces in the Use of Automatic Differentiation in Computer Graphics
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 558
EP - 565
AU - Mitsunori MAKINO
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E85-A
IS - 3
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - March 2002
AB - In the field of computer graphics (CG), some adaptive methods have been proposed in order to make CG images more real in relatively low computational cost. As one of such adaptive methods, in this paper, an adaptive method will be proposed for detection of edges and approximation of surfaces in the use of the so-called automatic differentiation. In the proposed method a CG image with high quality can be generated in suitable computational cost. In this paper, three cases will be considered. The first is an adaptive distributed ray tracing which can adaptively generate anti-aliased CG images in suitable computational cost. The second is a high quality triangular meshing, which guarantees accuracy of the generated meshes according to shape of given surface in suitable computational cost. The last case is used in the so-called radiosity method.
ER -
English
