A framework for enhancing depth perception in computer graphics
dc.citation.epage | 148 | en_US |
dc.citation.spage | 141 | en_US |
dc.contributor.author | Çipiloğlu, Zeynep | en_US |
dc.contributor.author | Bülbül, Abdullah | en_US |
dc.contributor.author | Çapin, Tolga | en_US |
dc.coverage.spatial | Los Angeles, California | |
dc.date.accessioned | 2016-02-08T12:23:42Z | |
dc.date.available | 2016-02-08T12:23:42Z | |
dc.date.issued | 2010-07 | en_US |
dc.department | Department of Computer Engineering | en_US |
dc.description | Date of Conference: 23-24 July, 2010 | |
dc.description | Conference name: APGV '10 Proceedings of the 7th Symposium on Applied Perception in Graphics and Visualization | |
dc.description.abstract | This paper introduces a solution for enhancing depth perception in a given 3D computer-generated scene. For this purpose, we propose a framework that decides on the suitable depth cues for a given scene and the rendering methods which provide these cues. First, the system calculates the importance of each depth cue using a fuzzy logic based algorithm which considers the target tasks in the application and the spatial layout of the scene. Then, a knapsack model is constructed to keep the balance between the rendering costs of the graphical methods that provide these cues and their contibution to depth perception. This cost-profit analysis step selects the proper rendering methods. In this work, we also present several objective and subjective experiments which show that our automated depth enhancement system is statistically (p < 0.05) better than the other method selection techniques that are tested. © 2010 ACM. | en_US |
dc.description.provenance | Made available in DSpace on 2016-02-08T12:23:42Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 2010 | en |
dc.identifier.doi | 10.1145/1836248.1836276 | en_US |
dc.identifier.uri | http://hdl.handle.net/11693/28553 | en_US |
dc.language.iso | English | en_US |
dc.publisher | ACM | en_US |
dc.relation.isversionof | https://doi.org/10.1145/1836248.1836276 | en_US |
dc.source.title | Proceedings - APGV 2010: Symposium on Applied Perception in Graphics and Visualization | en_US |
dc.subject | Computer graphics | en_US |
dc.subject | Cue combination | en_US |
dc.subject | Perceptually-aware rendering | en_US |
dc.subject | Cost-profit analysis | en_US |
dc.subject | Depth cue | en_US |
dc.subject | Depth enhancement | en_US |
dc.subject | Fuzzy logic-based algorithm | en_US |
dc.subject | Graphical methods | en_US |
dc.subject | Knapsack model | en_US |
dc.subject | Perceptually-aware rendering | en_US |
dc.subject | Rendering methods | en_US |
dc.subject | Selection techniques | en_US |
dc.subject | Spatial layout | en_US |
dc.subject | Subjective experiments | en_US |
dc.subject | Computer graphics | en_US |
dc.subject | Cost benefit analysis | en_US |
dc.subject | Depth perception | en_US |
dc.subject | Fuzzy logic | en_US |
dc.subject | Profitability | en_US |
dc.subject | Visualization | en_US |
dc.subject | Computational methods | en_US |
dc.title | A framework for enhancing depth perception in computer graphics | en_US |
dc.type | Conference Paper | en_US |
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