visual perception model simplification salient features
S. Howlett, J. Hamill and C. O'Sullivan. 'An experimental approach to predicting saliency for simplified polygonal models' in Proceedings of the ACM SIGGRAPH Symposium on Applied Perception in Graphics and Visualization (APGV), Los Angeles, July 2004, edited by H.Buelthoff and H. Rushmeier, ACM Press, pp. 57 - 64.
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 for synthetic
objects is more difficult, perhaps because it is more strongly
affected by task. We hope that our results will lead to new insights
into the nature of saliency in 3D graphics.
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