Basic Research on the Factors Influencing Perception of Texture from Images

  • Kimihiro Yamanaka
  • Kazuki Nagamura
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8521)


We conduct a subjective evaluation experiment by using the semantic differential method to examine the relation between the shape, color and size of an object in an image and the emergence of texture perception. The experiment consists of an evaluation survey on the perceived texture of a visual stimulus displayed on a monitor. The stimulus is a simple shape (ball, cylinder or box) created using a computer graphics application; ach shape appears in one of three colors (red, blue or green) and at one of two sizes (large or small) for a total of 18 distinct stimuli. The factors were extracted from the data by principal factor analysis, and the factor loadings were calculated by promax rotation. Furthermore, the relations between each factor and texture perception were examined through Hayashi’s first quantification method, a kind of regression analysis.

The results indicated relations between each item and the sensations of smoothness, hardness and moistness, which are considered to be representative of texture perception.


material perception “Shitsukan” semantic differential method Hayashi’s first quantification method 


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  1. 1.
    Brain and Information Science on SHITSUKAN (material perception), (access October 25, 2013)
  2. 2.
    Bartleson, C.J.: Memory Colors of Familiar Objects. Journal of Opticaal Society of America 50(1), 73–77 (1960)Google Scholar
  3. 3.
    Bartleson, C.J.: Color in Memory in Relation to Photographic Reproduction. Photographic Science and Engineering 5(6), 327–331 (1961)Google Scholar
  4. 4.
    Kitamura, S.: Structure of Subjective Texture. Journal of the Color Science Association of Japan 31(3), 201–205 (2007) (in Japanese)Google Scholar
  5. 5.
    Osgood, C.E.: The nature and measurement of meaning. Psychol. Bull. 49, 197–237 (1952)CrossRefGoogle Scholar
  6. 6.
    Hayashi, C.: On the quantification of qualitative data from mathematic statistical point of view. Ann. Inst. Statistical Math. 2, 35–47 (1950)CrossRefzbMATHGoogle Scholar
  7. 7.
    Hayashi, C.: On the prediction of phenomena from qualitative data and quantification of qualitative data from the mathematic statistical point of view. Ann. Inst. Statistical Math. 3, 69–98 (1952)zbMATHGoogle Scholar

Copyright information

© Springer International Publishing Switzerland 2014

Authors and Affiliations

  • Kimihiro Yamanaka
    • 1
  • Kazuki Nagamura
    • 1
  1. 1.Tokyo Metropolitan UniversityTokyoJapan

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