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Bilderna som räknas: En kvalitativ studie om upplevda skillnader i bilder från renderingsmotorerna Arnold, Cycles, LuxCore och Renderman
University West, School of Business, Economics and IT, Division of Media and Design.
2021 (Swedish)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesisAlternative title
The images that count (English)
Abstract [en]

There are many options available for path-tracing render engines today. This study aims to investigate differences between images produced by different path-tracers that all use the same 3D data. This was done through the creation of a 3D-scene including an everyday object that was rendered by four different engines: Arnold, Cycles, LuxCore and Renderman. The resulting images were presented to six test subjects, three with previous knowledge in 3D-graphics and three with no previous knowledge in 3D-graphics. Semi-structured qualitative interviews were conducted in order to examine whether the test subjects experienced any differences between the images, with special emphasis on depth of field, noise and attractiveness of the images. The render times for the different engines were compared.

The results show that the test subjects experienced great differences between the images. Experienced and non-experienced alike had no difficulty pointing out differences between the images, on some observations they all concurred, on some they expressed different opinions. The render times differed greatly for the different engines even though they all used the same number of samples. The conclusion of this paper is that, because the different engines work in slightly different manners, they produce pictures that are perceivably different even when they use the same 3D-data.

Abstract [sv]

Det finns idag många renderingsmotorer för 3D-grafik som använder sig av vägspårning. Denna studie syftar till att undersöka skillnader mellan bilder producerade av olika renderingsmotorer som alla utgått från samma data. Detta gjordes genom att en 3D-scen med ett vardagsföremål skapades och renderades ut genom fyra olika renderingsmotorer; Arnold, Cycles, LuxCore och Renderman. Bilderna presenterades sedan för sex försökspersoner, tre med tidigare erfarenhet av 3D och tre utan. Semistrukturerade kvalitativa intervjuer genomfördes för att ta reda på hur försökspersonerna upplevde bilderna, med fokus på depth of field, brus och hur attraktiva bilderna upplevdes. Renderingstiderna för de olika motorerna jämfördes.

Resultaten visar att försökspersonerna upplevde stora skillnader mellan bilderna och att de alla hade olika kvaliteter. Både de erfarna och de oerfarna hade lätt att peka ut skillnader mellan bilderna, på vissa punkter var de överens, på vissa punkter tyckte de olika. Även renderingstiderna för de olika motorerna varierade kraftigt trots att de alla beräknade samma mängd sampels. Slutsatsen som går att dra är att, då de olika motorerna jobbar på lite olika sätt, producerar de bilder som uppfattas som olika trots att de utgår från samma data.

Place, publisher, year, edition, pages
2021. , p. 38
Keywords [en]
Render, CGI, Path-tracing, uni-directional, bi-directional, noise DOF, perception
National Category
Media Engineering
Identifiers
URN: urn:nbn:se:hv:diva-16809Local ID: EXC509OAI: oai:DiVA.org:hv-16809DiVA, id: diva2:1581554
Subject / course
Media informatics
Educational program
3D-animation
Supervisors
Examiners
Available from: 2021-08-17 Created: 2021-07-22 Last updated: 2021-08-17Bibliographically approved

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CiteExportLink to record
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