Image Processing, Pattern Recognition Systems
Research area is image processing for human interface, which consists of two parts.
The first part is color image processing.
Color images are commonly processed and communicated in daily life.
Image processing technology for image quality improvement and color management is studied,
and new algorithms development and standardization are carried out.
Research results have been applied to imaging equipment - scanners, printers, projectors etc.
The second part is 3D vision systems. They are applied to face identification systems.
The application area is being extended to entire humans.
Image processing, Human interface, Color imaging, 3D vision
Principles of Color Image Reproduction, Maruzen (1996).
Content-Adaptive Automatic Image Sharpening,
20th International Conference on Pattern Recognition, pp.2214-2217 (2010).
Natural Object / Artifact Image Classification Based on Line Features,
IEICE Transaction on Information & Systems, Vol.E91-D, No.8, pp.2207-2211 (2008).
Absolute phase measurements using geometric constraints between multiple cameras and projectors,
Applied Optics, Vol. 46, Issue 17, pp.3528-3538 (2007).
Two Invariance Properties on Object Color Changes under Daylights,
14th Color Imaging Conference, pp.180-184 (2006).
Gravitational Reallocation of Halftone Dots for Moire-free Color Proofing,
13th Color Imaging Conference, pp.239-244 (2005).
Evaluation of Color Matching Performances for SPEM and Other Models,
Color Research and Application, Vol.28, pp.445-453 (2003).
Representative Data Selection for Standard Object Colour Spectra Database (SOCS),
10th Color Imaging Conference, pp.155-160 (2002).
Range Image Acquisition by Rainbow Range Finder,
Trans. IEICE, Vol.J73-D-II, pp.374-382 (1990).