Optical Media Interface

Research Staff

  • Prof. Yasuhiro Mukaigawa

    Yasuhiro Mukaigawa

  • Assoc.Prof. Takuya Funatomi

    Takuya Funatomi

  • Assist.Prof. Hiroyuki Kubo

    Hiroyuki Kubo

  • Assist.Prof. Kenichiro Tanaka

    Kenichiro Tanaka

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

Research Area

Computer Vision

We analyze the behavior of the light reflection on a surface, and scattering inside an object. This analysis should be a basic technology of material estimation and 3d shape reconstruction.

Computer Graphics and Feeling of Material

To reveal a mechanism of human visual perception, we develop human visual interface to represent reliable material appearance and feelings.

Computational photography

We develop a method to generate images according to the computation of the light distribution captured by a specialized camera. To compute the distribution of the light captured by a specialized camera, we develop a method to generate an image which cannot be obtained from a conventional camera. Using this computation, we are able to generate an image taken by simulated virtual camera with physically impossible settings. This enables us to provide an image which we have never seen before.

Development of Sensing System

A Light transportation in 3D space contains various kinds of significant information, but a camera can only captures a 2D image of the scene which is just a subset of the light transportation. Therefore, constructing optical measurement devices with specialized mirrors and lenses, we challenge to capture the light transportation.

Key Features

The research topics in our laboratory include Computer Vision to understand scenes according to visual information obtained by a camera, and Computer Graphics to generate rich visual information for human. We are aiming to realize a new interface that enables human and machine to interact through optical media based on cutting edge researches.

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