Hybrid image/model-based gaze-contingent rendering

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Hybrid image/model-based gaze-contingent rendering

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ACM Transactions on Applied Perception (TAP) archive
Volume 5 , Issue 4 (January 2009) table of contents

Article No. 22

Year of Publication: 2009

ISSN:1544-3558

Authors

Hunter A. Murphy	Clemson University, Clemson, USA
Andrew T. Duchowski	Clemson University, Clemson, USA
Richard A. Tyrrell	Clemson University, Clemson, USA

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ACM New York, NY, USA

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ABSTRACT

A nonisotropic hybrid image/model-based gaze-contingent rendering technique utilizing ray casting on a GPU is discussed. Empirical evidence derived from human subject experiments indicates an inverse relationship between a peripherally degraded scene's high-resolution inset size and mean search time, a trend consistent with existing image-based and model-based techniques. In addition, the data suggest that maintaining a target's silhouette edges decreases search times when compared to targets with degraded edges. However, analysis suggests a point of diminishing returns with an inset larger than 15° when target discrimination is a component of visual search. Benefits of the hybrid technique include simplicity of design and parallelizability, both conducive to GPU implementation.

REFERENCES

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