３次元凹凸曲面上における対称パターン検出の効率分析

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タイトル別名
  • Human efficiency for symmetry detection on 3D bumpy surface
  • 3ジゲン オウトツ キョクメン ジョウ ニ オケル タイショウ パターン ケンシュツ ノ コウリツ ブンセキ

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抄録

Based on the ideal observer analysis, we investigated sampling properties of image information used by human visual system, for symmetrical pattern discrimination on 3D bumpy surface. There were three models of ideal observer (IO) to perform the task: 2D-IO using 2D projection image (i.e., retinal image), 2.5D-IO using image transformed to canonical view, and 3D-JO using recovered pattern image of 2D plane. We measured discrimination thresholds on the task for each IO model and subjects, and calculated human statistical efficiency relative to each ideal observer. The results indicated for the detection of a diagonal symmetry in the bumpy surface that human performance was similar to 3D-IO. This implies that human observers use the structure of the bumpy surface to detect the diagonal symmetry.

収録刊行物

  • 心理学研究

    心理学研究 75 (5), 407-414, 2004

    公益社団法人 日本心理学会

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