Viewpoint complexity in radiosity

dc.contributor.author	Πλεμενός, Δημήτρης	el
dc.contributor.author	Μιαούλης, Γεώργιος	el
dc.date.accessioned	2015-06-07T09:45:59Z
dc.date.available	2015-06-07T09:45:59Z
dc.date.issued	2015-06-07
dc.identifier.uri	http://hdl.handle.net/11400/15437
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	http://link.springer.com/book/10.1007/978-3-642-01259-4	en
dc.subject	Form factors
dc.subject	Heuristic search
dc.subject	Monte-Carlo radiosity
dc.subject	Progressive refinement
dc.subject	Radiosity
dc.subject	Viewpoint complexity
dc.subject	Visibility
dc.subject	Μορφή παραγόντων
dc.subject	Ευρετική αναζήτηση
dc.subject	Προοδευτική βελτίωση
dc.subject	Πολυπλοκότητα άποψης
dc.title	Viewpoint complexity in radiosity	en
heal.type	bookChapter
heal.classification	Technology
heal.classification	Computer science
heal.classification	Τεχνολογία
heal.classification	Πληροφορική
heal.classificationURI	http://zbw.eu/stw/descriptor/10470-6
heal.classificationURI	http://skos.um.es/unescothes/C00750
heal.classificationURI	N/A-Τεχνολογία
heal.classificationURI	N/A-Πληροφορική
heal.keywordURI	http://id.loc.gov/authorities/subjects/sh94006079
heal.identifier.secondary	DOI: 10.1007/978-3-642-01259-4_6
heal.language	en
heal.access	campus
heal.recordProvider	Σχολή Τεχνολογικών Εφαρμογών. Τμήμα Μηχανικών Πληροφορικής Τ.Ε.	el
heal.publicationDate	2009
heal.bibliographicCitation	Plemenos, D. and Miaoulis, G. (2009) Viewpoint complexity in radiosity. In: Plemenos, D. and Miaoulis, G. (2009) "Visual Complexity and Intelligent Computer Graphics Techniques Enhancements". Berlin: Springer Berlin Heidelberg, p. 179-220. Available from: http://link.springer.com/chapter/10.1007%2F978-3-642-01259-4_6 [Accessed: 07/06/2015].	en
heal.abstract	In this chapter we present importance-driven subdivision techniques for efficient computing of radiosity. The purpose of these techniques is to perform an intelligent selection of interesting directions from a patch, based on viewpoint complexity. The first technique uses the importance of a direction to approximately compute form factors by adaptive subdivision of a hemi-cube. The second technique uses a heuristic function, which estimates viewpoint complexity in a given direction from a patch and recursively subdivides a hemisphere. This technique permits to improve the classical Monte Carlo progressive refinement technique by choosing good directions to send rays. The third technique is an improved variant of the second one. The heuristic function used to estimate the visual complexity in now applied to a region delimited by a pyramid and the visibility criterion used by the function is more accurate and easier to compute. A fourth technique, based on more accurate estimation of viewpoint complexity, is also proposed. This technique seems interesting but it is not yet implemented.	en
heal.publisher	Springer Berlin Heidelberg	en
heal.fullTextAvailability	true
heal.bookName	Visual Complexity and Intelligent Computer Graphics Techniques Enhancements	en