Guaranteed adaptive antialiasing using interval arithmetic

Jorge Flórez; Mateu Sbert; Miguel A. Sainz; Josep Vehí

doi:10.1007/978-3-540-72586-2_24

Guaranteed adaptive antialiasing using interval arithmetic

Jorge Flórez
, Mateu Sbert
, Miguel A. Sainz
, Josep Vehí

Institute of Informatics and Applications

University of Girona

Research output: Chapter in Book/Conference proceeding › Conference proceeding › peer-review

Abstract

Interval arithmetic has been used to create guaranteed intersection tests in the ray tracing algorithms. Although those algorithms improve the reliability in the visualization of implicit surfaces, they do not provide an alternative to avoid point sampling inside the pixel. In this paper, we develop an interval adaptive antialiasing algorithm (IAA) by means of the study of the coherence of sets of rays crossing a pixel (instead of individual rays) in order to detect variations over the hit surface. This method allows us to obtain better visualizations than the traditional interval ray tracing algorithms.

Original language	English
Title of host publication	Computational Science - ICCS 2007 - 7th International Conference, Proceedings
Publisher	Springer Verlag
Pages	166-169
Number of pages	4
Edition	PART 2
ISBN (Print)	9783540725855
DOIs	https://doi.org/10.1007/978-3-540-72586-2_24
Publication status	Published - 2007
Event	7th International Conference on Computational Science, ICCS 2007 - Beijing, China Duration: 27 May 2007 → 30 May 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 2
Volume	4488 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	7th International Conference on Computational Science, ICCS 2007
Country/Territory	China
City	Beijing
Period	27/05/07 → 30/05/07

Access to Document

10.1007/978-3-540-72586-2_24

Cite this

Flórez, J., Sbert, M., Sainz, M. A., & Vehí, J. (2007). Guaranteed adaptive antialiasing using interval arithmetic. In Computational Science - ICCS 2007 - 7th International Conference, Proceedings (PART 2 ed., pp. 166-169). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4488 LNCS, No. PART 2). Springer Verlag. https://doi.org/10.1007/978-3-540-72586-2_24

Flórez, Jorge ; Sbert, Mateu ; Sainz, Miguel A. et al. / Guaranteed adaptive antialiasing using interval arithmetic. Computational Science - ICCS 2007 - 7th International Conference, Proceedings. PART 2. ed. Springer Verlag, 2007. pp. 166-169 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2).

@inproceedings{4939a028de9845dbb71a1d6ae767e4c1,

title = "Guaranteed adaptive antialiasing using interval arithmetic",

abstract = "Interval arithmetic has been used to create guaranteed intersection tests in the ray tracing algorithms. Although those algorithms improve the reliability in the visualization of implicit surfaces, they do not provide an alternative to avoid point sampling inside the pixel. In this paper, we develop an interval adaptive antialiasing algorithm (IAA) by means of the study of the coherence of sets of rays crossing a pixel (instead of individual rays) in order to detect variations over the hit surface. This method allows us to obtain better visualizations than the traditional interval ray tracing algorithms.",

author = "Jorge Fl{\'o}rez and Mateu Sbert and Sainz, \{Miguel A.\} and Josep Veh{\'i}",

year = "2007",

doi = "10.1007/978-3-540-72586-2\_24",

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isbn = "9783540725855",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

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pages = "166--169",

booktitle = "Computational Science - ICCS 2007 - 7th International Conference, Proceedings",

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note = "7th International Conference on Computational Science, ICCS 2007 ; Conference date: 27-05-2007 Through 30-05-2007",

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Flórez, J, Sbert, M, Sainz, MA & Vehí, J 2007, Guaranteed adaptive antialiasing using interval arithmetic. in Computational Science - ICCS 2007 - 7th International Conference, Proceedings. PART 2 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 2, vol. 4488 LNCS, Springer Verlag, pp. 166-169, 7th International Conference on Computational Science, ICCS 2007, Beijing, China, 27/05/07. https://doi.org/10.1007/978-3-540-72586-2_24

Guaranteed adaptive antialiasing using interval arithmetic. / Flórez, Jorge; Sbert, Mateu; Sainz, Miguel A. et al.
Computational Science - ICCS 2007 - 7th International Conference, Proceedings. PART 2. ed. Springer Verlag, 2007. p. 166-169 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4488 LNCS, No. PART 2).

Research output: Chapter in Book/Conference proceeding › Conference proceeding › peer-review

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AU - Sbert, Mateu

AU - Sainz, Miguel A.

AU - Vehí, Josep

PY - 2007

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N2 - Interval arithmetic has been used to create guaranteed intersection tests in the ray tracing algorithms. Although those algorithms improve the reliability in the visualization of implicit surfaces, they do not provide an alternative to avoid point sampling inside the pixel. In this paper, we develop an interval adaptive antialiasing algorithm (IAA) by means of the study of the coherence of sets of rays crossing a pixel (instead of individual rays) in order to detect variations over the hit surface. This method allows us to obtain better visualizations than the traditional interval ray tracing algorithms.

AB - Interval arithmetic has been used to create guaranteed intersection tests in the ray tracing algorithms. Although those algorithms improve the reliability in the visualization of implicit surfaces, they do not provide an alternative to avoid point sampling inside the pixel. In this paper, we develop an interval adaptive antialiasing algorithm (IAA) by means of the study of the coherence of sets of rays crossing a pixel (instead of individual rays) in order to detect variations over the hit surface. This method allows us to obtain better visualizations than the traditional interval ray tracing algorithms.

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DO - 10.1007/978-3-540-72586-2_24

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Computational Science - ICCS 2007 - 7th International Conference, Proceedings

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T2 - 7th International Conference on Computational Science, ICCS 2007

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Flórez J, Sbert M, Sainz MA, Vehí J. Guaranteed adaptive antialiasing using interval arithmetic. In Computational Science - ICCS 2007 - 7th International Conference, Proceedings. PART 2 ed. Springer Verlag. 2007. p. 166-169. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 2). doi: 10.1007/978-3-540-72586-2_24

Guaranteed adaptive antialiasing using interval arithmetic

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