Project/Area Number  07610069 
Research Category 
GrantinAid for Scientific Research (C)

Section  一般 
Research Field 
実験系心理学

Research Institution  Ochanomizu University 
Principal Investigator 
ISHIGUCHI Akira Ochanomizu University Faculty of Letters and Education Associate Professor, 文教育学部, 助教授 (10184508)

Project Fiscal Year 
1995 – 1996

Project Status 
Completed(Fiscal Year 1996)

Budget Amount *help 
¥2,100,000 (Direct Cost : ¥2,100,000)
Fiscal Year 1996 : ¥700,000 (Direct Cost : ¥700,000)
Fiscal Year 1995 : ¥1,400,000 (Direct Cost : ¥1,400,000)

Keywords  vision / statistical efficiency / signal detection theory / symmetry / stereopsis / motion phase difference / recovery of structure / spatial vision / 視覚 / 統計的効率 / 信号検出理論 / 対称性 / 両眼立体視 / 運動位相差 / 構造復元 / 空間認知 / ランダムドットステレオグラム 
Research Abstract 
The purpose of this research was to calculate the statistical efficiency based on the comparison of the discriminability of Ideal Observer with that of human observer, and to make clear statistical properties of the visual dicision process. The results of this research are as follows. 1 We measured the statistical efficiency of detection of threedimensional mirror symmetry about a sagittal plane. This 3D mirror symmetry was in the observer centered coordinate system. In order to measure the performance of the Ideal Observer, we introduces a Gaussian noise to the binocular disparity. 2 We measured both the statistical efficiency of depthdiscrimination between stereoscopically overlapped randomdot surfaces and that of depthdiscrimination between two random dot surfaces arrayd side by side. In order to measure the performance of the Ideal Observer, we introduces a Gaussian noise to the binocular disparity. 3 We measured the statistical efficiency of discrimination of the motion phase difference between two groups of vertically oscillating random dots. In order to measure the performance of the Ideal Observer, we introduces a Gaussian noise to the motion phase of the oscillating dots. 4 We measured the statistical efficiency of discrimination of the motion phase difference between two groups of orthgonally oscillating random dots. In order to measure the performance of the Ideal Observer, we introduces a Gaussian noise to the motion phase of the oscillating dots. 5 We measured the statistical efficiency of discrimination between two rigid objects or rigid and nonrigid objects which would be recovered from dot motion. In order to measure the performance of the Ideal Observer, we introduces a Gaussian noise to 3D position of the moving dots. From these results, we modeled pathway and hierarchical Structure of Visual information Processing.
