Construction of color representation models in the human visual system based on classification image method
Project/Area Number |
24700206
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Research Category |
Grant-in-Aid for Young Scientists (B)
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Allocation Type | Multi-year Fund |
Research Field |
Sensitivity informatics/Soft computing
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Research Institution | Yamagata University (2013-2014) Toyohashi University of Technology (2012) |
Principal Investigator |
TAKEHIRO Nagai 山形大学, 理工学研究科, 准教授 (40549036)
|
Project Period (FY) |
2012-04-01 – 2015-03-31
|
Project Status |
Completed (Fiscal Year 2014)
|
Budget Amount *help |
¥4,550,000 (Direct Cost: ¥3,500,000、Indirect Cost: ¥1,050,000)
Fiscal Year 2014: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2013: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
Fiscal Year 2012: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
|
Keywords | 色覚 / 逆相関法 / 心理物理学 / 色彩科学 / 色覚情報処理 / 色彩工学 |
Outline of Final Research Achievements |
Our aim was to construct numerical models of color representation in the human visual system using a psychophysical reverse correlation method. The results of our project are as follows. 1. We established a method to estimate color representation properties in the human visual system that is based on an analysis of a huge number of observers’ responses for randomly colored stimuli using color representation models. 2. Our results suggested that rather low-level opponent color representation contributes to color contrast perception using the method above. 3. Our results suggested that different color representations are involved in different tasks of color perception even for an identical color stimulus.
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Report
(4 results)
Research Products
(7 results)