Optical Media Interface

Research Staff

  • Prof. Yasuhiro Mukaigawa

    Prof.
    Yasuhiro Mukaigawa

  • Assoc.Prof. Takuya Funatomi

    Assoc.Prof.
    Takuya Funatomi

  • Assist.Prof. Hiroyuki Kubo

    Assist.Prof.
    Hiroyuki Kubo

  • Assist.Prof. Kenichiro Tanaka

    Assist.Prof.
    Kenichiro Tanaka

E-mail { mukaigawa, funatomi, hkubo, ktanaka }[at] is.naist.jp

Research Area

[Check out our laboratory website for the recent topics and the detail.] Our research interests stand on both computer vision and computer graphics techniques, which are inextricably linked together. Some of this research has interdisciplinary applications in areas such as autonomous robots, factory automation, medical, and agriculture, and is performed in collaboration with other universities and companies.

Computer Vision

We are interested in the scene understanding via the analysis of the light behavior such as reflection on a surface and the scattering beneath the surface. This is a key technology of 3D shape reconstruction and material estimation. (Fig. 1)

Computer Graphics

We are developing a new technology that supports the CG industry. Interpolating the animation frame, automatic colorization, realistic material representation, and generating a novel 3D perception are examples. (Fig. 2)

Computational photography

Computational photography techniques generates images that are beyond the ordinary camera limit by computing the distribution of light captured by modified cameras. We can control the camera parameters after the capture as well as visualize invisibles, for example, the transparent surface, scenes through fogs, hidden layers inside the objects, and so on. (Fig. 3)

Optical Device Design

Designing the measurement system that can acquire the high-dimensional light transport is an important development of our laboratory, because our goal is to correctly understand the scene based on the physical optical phenomena of the real world. (Fig. 4)

Fig.1 Reflection and scattering.

Fig.1 Light transport analysis inside a target object.

Fig.2 Sensing systems.

Fig.2 Different materials, different appearances.

Fig.3 Examples of computational photography.

Fig.3 Light field acquisition for computational photography

Fig.4 Difference of materials.

Fig.4 Optics sensing system