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DC Field | Value | Language |
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dc.contributor.author | Napoli, Kevin | - |
dc.contributor.author | Bugeja, Keith | - |
dc.contributor.author | Spina, Sandro | - |
dc.contributor.author | Magro, Mark | - |
dc.contributor.author | De Barro, Adrian | - |
dc.date.accessioned | 2023-02-23T06:51:51Z | - |
dc.date.available | 2023-02-23T06:51:51Z | - |
dc.date.issued | 2022 | - |
dc.identifier.citation | Napoli, K., Bugeja, K., Spina, S., Magro, M., & De Barro, A. (2022). Anvil : a tool for visual debugging of rendering pipelines. In Proceedings of the 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) - Volume 1: GRAPP, virtual. 196-203. | en_GB |
dc.identifier.uri | https://www.um.edu.mt/library/oar/handle/123456789/106713 | - |
dc.description.abstract | Debugging software can be challenging and numerous tools are used to aid in this task. Moreover, inspecting and debugging software of a certain nature such as those found in the subdomain of physically based rendering, where stochastic methods are often utilised, can be even more challenging. Traditional debugging in these cases is not ideal and in many cases not sufficient to help pinpoint certain issues, such as finding defects in the distribution of reflected rays in a ray-based rendering scenario. To address these issues we propose Anvil, a visual debugging tool that aims to seamlessly integrate within user applications, adhering to the what you don’t use, you don’t pay for C++ zero-overhead principle. Anvil is meant to be flexible, reusable, and extensible while adopting a low memory footprint. To achieve its goals, Anvil makes use of reflection-like techniques, adopts in situ analysis, and provides event hooks to communicate with the user application. | en_GB |
dc.language.iso | en | en_GB |
dc.rights | info:eu-repo/semantics/restrictedAccess | en_GB |
dc.subject | Debugging in computer science | en_GB |
dc.subject | Ray tracing algorithms | en_GB |
dc.subject | Computer graphics | en_GB |
dc.subject | Anvils | en_GB |
dc.title | Anvil : a tool for visual debugging of rendering pipelines | en_GB |
dc.type | conferenceObject | en_GB |
dc.rights.holder | The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder. | en_GB |
dc.bibliographicCitation.conferencename | 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2022) | en_GB |
dc.bibliographicCitation.conferenceplace | Virtual conference. 06-08/02/2022. | en_GB |
dc.description.reviewed | peer-reviewed | en_GB |
dc.identifier.doi | 10.5220/0010834200003124 | - |
Appears in Collections: | Scholarly Works - FacICTCS |
Files in This Item:
File | Description | Size | Format | |
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Anvil_a_tool_for_visual_debugging_of_rendering_pipelines_2022.pdf Restricted Access | 4.06 MB | Adobe PDF | View/Open Request a copy |
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