[image 03079] MDPI Journal of Imaging「Physics-based Computer Vision: Color and Photometry」特集号（11/30〆切）

[Daisuke MIYAZAKI]

Image-MLの皆さま

広島市立大学の宮崎と申します．
＃ 重複して受け取られた場合はご容赦ください．

以下の特集号を規格しております．
投稿〆切は11月30日となっておりますので，
奮ってご投稿くださいますよう
何とぞよろしくお願いします．

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CALL FOR PAPERS

Journal of Imaging (ISSN 2313-433X)
Special Issue "Physics-based Computer Vision: Color and Photometry"

Deadline: 30 November 2018

More info and submission details:
http://www.mdpi.com/journal/jimaging/special_issues/Physics_Computer_Vision

Dear Colleagues,

Color and photometry are two of the most important attributes of the natural environment. Light is an electromagnetic wave radiated from, for example, thermal sources or emissions caused by a transition from a high energy state to a lower energy state. When light interacts with materials, it reflects, transmits, scatters, polarizes, or is absorbed. Camera sensors and human eyes receive light as a result of complicated physical phenomena. Physics-based vision is a research topic that analyzes physical phenomena in order to extract rich information from the scene. Recent growth of image sensors and computational tools have expanded the field of computer vision. Such innovation in terms of both hardware and software also provide rapid progress in the physics-based vision field.

The objective of this Special Issue is to provide opportunities to share new insights with researchers in various fields that will contribute to a future roadmap of physics-based vision. Papers must be original research of novel results or a suitable review of the current state-of-the-art.

Dr. Daisuke Miyazaki
Guest Editor

Keywords

    Polarization
    Scattering
    Dehazing
    Deweathering
    Fluorescent substance
    Material recognition
    Relighting
    Shadow removal
    Illumination estimation
    Photometric stereo
    BRDF
    Color constancy
    Recoloring for dichromats
    Infrared light
    Hyperspectral image
    Metamerism