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2004
ACM

An experimental approach to predicting saliency for simplified polygonal models

9 years 3 months ago
An experimental approach to predicting saliency for simplified polygonal models
In this paper, we consider the problem of determining feature saliency for 3D objects and describe a series of experiments that examined if salient features exist and can be predicted in advance. We attempt to determine salient features by using an eye-tracking device to capture human gaze data and then investigate if the visual fidelity of simplified polygonal models can be improved by emphasizing the detail of salient features identified in this way. To try to evaluate the visual fidelity of models simplified using both metrics, a set of naming time, matching time and forced-choice preference experiments were carried out. We found that our perceptually weighted metric led to a significant increase in visual fidelity for the lower levels of detail (LOD) of the natural objects, but that for the man-made artifacts the opposite was true. We therefore conclude that visually prominent features may be predicted in this way for natural objects, but our results show that saliency prediction ...
Sarah Howlett, John Hamill, Carol O'Sullivan
Added 20 Aug 2010
Updated 20 Aug 2010
Type Conference
Year 2004
Where APGV
Authors Sarah Howlett, John Hamill, Carol O'Sullivan
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