Extraction of Feature Quantities for Drawing a Good Portrait using a Gaze Point Measurement
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- ONISHI Gen
- Hiroshima International University
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- KASHIO Toshiki
- Seikagakuen High School
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- YORIFUJI Syu
- Graduate School of Psychological Sciences, Hiroshima International University
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- KOCHI Ayaka
- Hiroshima International University
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- SYOJI Tsuyoshi
- Hiroshima International University
Bibliographic Information
- Other Title
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- 注視点計測による似顔絵を上手に描くための特徴量抽出
Abstract
This paper presents to extract examinees' feature quantities for a portrait when they draw it using an eye tracking system. We acquired the gaze coordinates of 40 healthy examinees' both eyes by non-restraint and noncontact measurement using infrared rays while they draw a portrait for 390 to 450 seconds. Eight art teachers in high school or university decided each 10 pictures of the high and low reputation value from their evaluation questionnaires. The results of analyzing the frequency of the glance translation a minute between the drawing canvas and the portrait model, the high reputation value group's frequency increased more than the low group's one. Moreover, the drawing glance rate (Ratio of the useful glance movement and the useless glance movement) proposed by the authors became a comparable results too. We succeeded in extracting the feature quantities to draw a portrait well as the numerical value, such as observing the model carefully and concentrating to write a portrait.
Journal
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- Transactions of Japan Society of Kansei Engineering
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Transactions of Japan Society of Kansei Engineering 15 (4), 553-561, 2016
Japan Society of Kansei Engineering
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Details 詳細情報について
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- CRID
- 1390282680305025792
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- NII Article ID
- 130005263280
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- ISSN
- 18845258
- 18840833
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- Text Lang
- en
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed