多解像度モデルによる視覚的注意と視覚探索の分析
Multiresolutional Model for Analysis of Visual
Attention and Visual Search Performance
横澤 一彦
YOKOSAWA Kazuhiko
Vol.1, No.2 (Novermber 1995), pp.64-82.
Received 1993/10/6, accepted 1994/8/10.
Visual search tasks to discover target in distractors are used
for performance test of early vision. Fast and spatially parallel
detection is taken as evidence that features in question are coded
early in the visual process. Targets that are defined by conjunctions
of features are usually found through a serial process of checking and
rejecting distractors. The search time increases linearly with the
number of distractors, suggesting that attention must be focused to
each item in turn in order to conjoin features.
Based on these recent studies of visual search, a model of
visual attention is proposed. It is assumed that a visual image is
encoded in a multi-resolution pyramid and attention function selects a
sampling area from the pyramid. The function, guided by top-down and
bottom-up mechanisms, give priority to sampling. New sampling is
reconstructed by combining with previous samplings so that the
reconstruction is as visually recognizable as possible at any moment.
A computer simulation of the model produces the same general
characteristics as human.
keywords:
視覚的注意 Visual Attention,視覚探索 Visual Search,
特徴統合 Feature Integration,初期視覚 Early Vision
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