Lab Principle: All about images, toward the essence

“Image” refers not only to RGB photographs, but to any pattern that describes the features or state of an object or phenomenon. There are diverse forms of images representing various aspects of the real world—such as depth images, spectral images, CT and MR images. In mathematics, “image” also means the set resulting from mapping a structure from one space to another via a function.

In Image Informatics, we comprehensively study the structures, transformations, and representations of such “images,” which arise in various descriptive spaces through sensors and computational processes, aiming to approach the fundamental essence of the target.

• Computational Imaging: An image is not the object itself, but a modality-dependent representation of certain aspects, determined by the method and conditions of observation. Observation can be regarded as “encoding,” while extracting fundamental patterns and structures can be seen as “decoding.” This process involves technologies such as optical design, electronics, machine learning, and optimization.
• Understanding Motion and Deformation: Temporal changes in images are key to understanding and predicting phenomena. We use geometric and statistical approaches to model diverse changes—such as motion constrained by skeletal structure, or the dynamic deformation of clouds and biological tissues—aiming for unified analysis of dynamic “images” in the real world.
• Visualization and Expression: Effective presentation requires careful design of “perspective.” By selecting and expressing only the most relevant aspects as the optimal “image,” we support discovery and better decision-making. We explore new ways of delivering images—not only through 2D displays, but also using 3D displays, 3D printers, and other modalities.

Requirement for Prospective International Students

Prospective international students wishing to join our laboratory are expected to secure adequate financial support prior to enrollment.

For applicants to the PhD program, securing external funding such as the Japanese Government (MEXT) Scholarship (Embassy Recommendation) is strongly recommended. Applications based solely on personal or family financial support will not be encouraged for the PhD program.

For details on the MEXT Scholarship (Embassy Recommendation), please refer to: the Kyoto University’s web site. Please feel free to contact us again after you have passed the first screening conducted by the Japanese embassy or consulate. Please note that we do not accept inquiries regarding the University Recommendation scheme.

Research students (non-degree students) are not accepted. An exception may be made only for applicants officially supported by the Japanese Government (MEXT) Scholarship.