Material Appearance and Visual Understanding

A special issue of Journal of Imaging (ISSN 2313-433X).

Deadline for manuscript submissions: closed (30 November 2018)

Special Issue Editor


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Guest Editor
Department of Imaging Sciences, Graduate School of Engineering, Chiba University, 1-33, Yayoi-cho, Inage-ku, Chiba 263-8522, Japan
Interests: color engineering; image analysis; visual information processing; material appearance
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Special Issue Information

Dear Colleagues,

Measuring, processing, understanding, and reproducing, not only the color and shape of objects, but also their appearance, have emerged as a recent topic of interest in the field of image engineering. For example, developing appropriate methods to measure and reproduce the glossiness and transparency of objects is important for the three-dimensional printing industry. Likewise, the development of a material classification method using captured images is indispensable for the robotics and automobile operation. Furthermore, since the appearance of a material influences our behavior, value judgment, and even emotions, extensive industrial applications are expected in this field. Through these engineering studies, we expect to gain new knowledge about the visual perception of materials, objects, and scenes, and develop new methodologies for correlating visual appearance to material properties. The purpose of this Special Issue on “Material Appearance and Visual Understanding” is to present some of the recent developments in the field by covering a range of topics including method development and applications in relevant areas.

Articles must consist of original research with novel results or suitable review articles describing the current state-of-the-art.

Prof. Takahiko Horiuchi
Guest Editor

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Journal of Imaging is an international peer-reviewed open access monthly journal published by MDPI.

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Keywords

  • Material appearance measurement
  • Image processing
  • Material recognition
  • Material classification
  • Image rendering and 3D printing
  • Appearance modeling
  • Appearance editing and management
  • Appearance metric
  • Multimodal and crossmodal imaging
  • Shitsukan analysis
  • Visual understanding
  • Perception of material properties
  • Applications and New Trends

Published Papers (2 papers)

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Research

20 pages, 10180 KiB  
Article
Evaluation of Material Appearance Under Different Spotlight Distributions Compared to Natural Illumination
by Takashi Yamazoe, Tomohiro Funaki, Yuki Kiyasu and Yoko Mizokami
J. Imaging 2019, 5(2), 31; https://0-doi-org.brum.beds.ac.uk/10.3390/jimaging5020031 - 21 Feb 2019
Cited by 4 | Viewed by 5834
Abstract
Solid-state lamps including Organic Light Emitting Diode (OLED) lighting could facilitate a wide variety of lighting conditions by controlling the spectral power distribution and the spatial distribution of the light source. The appearance of the surface of an object is significantly influenced by [...] Read more.
Solid-state lamps including Organic Light Emitting Diode (OLED) lighting could facilitate a wide variety of lighting conditions by controlling the spectral power distribution and the spatial distribution of the light source. The appearance of the surface of an object is significantly influenced by the lighting conditions and the constituent materials of the objects. Therefore, appearance of objects may appear to be different from expectation. Lighting condition leads to important part of accurate material recognition. We investigate whether it is possible to determine the lighting condition that results in the intended material appearance by the evaluation of this parameter under different lighting distributions compared to natural illumination. The viewing conditions of three spotlight sizes and three illuminance levels were investigated. The participants selected the viewing condition for which the appearance of fruits and vegetable food samples was the closest to the impressions learned from observing and freely holding these objects under natural reference illumination. Participants also evaluated their impressions of stimuli in each viewing condition by responding to twelve questions. The results show that the wide spotlight size condition with higher diffuseness of the illumination was selected more frequently than the narrow spotlight conditions. This suggests that the diffuseness of illumination influences the appearance of the object’s material. The results of seven-point scales suggest that their impression of stimuli was influenced by the surface properties of the objects as well as the lighting distributions. It was suggested that it is possible to set an appropriate lighting condition to facilitate material appearance similar to the expected appearance under natural illumination. Full article
(This article belongs to the Special Issue Material Appearance and Visual Understanding)
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16 pages, 3324 KiB  
Article
Bidirectional Reflectance Measurement and Reflection Model Fitting of Complex Materials Using an Image-Based Measurement Setup
by Aditya Sole, Ivar Farup, Peter Nussbaum and Shoji Tominaga
J. Imaging 2018, 4(11), 136; https://0-doi-org.brum.beds.ac.uk/10.3390/jimaging4110136 - 20 Nov 2018
Cited by 8 | Viewed by 4542
Abstract
Materials with a complex visual appearance, like goniochromatic or non-diffuse, are widely used for the packaging industry. Measuring optical properties of such materials requires a bidirectional approach, and therefore, it is difficult and time consuming to characterize such a material. We investigate the [...] Read more.
Materials with a complex visual appearance, like goniochromatic or non-diffuse, are widely used for the packaging industry. Measuring optical properties of such materials requires a bidirectional approach, and therefore, it is difficult and time consuming to characterize such a material. We investigate the suitability of using an image-based measurement setup to measure materials with a complex visual appearance and model them using two well-established reflection models, Cook–Torrance and isotropic Ward. It was learned that the complex materials typically used in the print and packaging industry, similar to the ones used in this paper, can be measured bidirectionally using our measurement setup, but with a noticeable error. Furthermore, the performance of the reflection models used in this paper shows big errors colorimetrically, especially for the goniochromatic material measured. Full article
(This article belongs to the Special Issue Material Appearance and Visual Understanding)
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