Using perceptual features to prioritize ray-based image generation

B. Kainz, M. Steinberger, S. Hauswiesner, R. Khlebnikov, D. Kalkofen, D. Schmalstieg

Research output: Contribution to conferencePosterpeer-review


A common challenge in interactive image generation is maintaining high interactivity of the applications that use computationally demanding rendering algorithms. This is usually achieved by sacrificing some of the image quality in order to decrease the rendering time. Most of such algorithms achieve interactive frame rates while trying to preserve as much image quality as possible by applying the reduction steps non-uniformly. However, high-end rendering systems, such as those presented by [Parker et al. 2010], aim to generate highly realistic images of very complex scenes. In such systems ordinary sampling approaches often give visually unacceptable results. In order to allow to optimize the ratio between the sampling rate of the scene and its resulting perceptual quality, we present a new sampling strategy which uses the information about object features that are known to support the comprehension of 3D shape [Cole et al. 2009]. We control the sampling density by exploiting line extraction techniques commonly used in Non-Photorealistic Renderings.

Original languageEnglish
Number of pages1
Publication statusPublished - Feb 2011
Externally publishedYes
Event2011 15th ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games, I3D'11 - San Francisco, CA, United States
Duration: 18 Feb 201120 Feb 2011


Conference2011 15th ACM SIGGRAPH Symposium on Interactive 3D Graphics and Games, I3D'11
Country/TerritoryUnited States
CitySan Francisco, CA


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