We study the fusion of image/signal processing and deep machine learning to develop new technologies and to expand relevant scientific knowledge. We mainly work on the following four research projects.
 

• Biometrics is a technology for identifying individuals using their biological and behavioral characteristics.
  We investigate the high-performance biometric recognition algorithms for biometric traits (e.g., face, fingerprints, iris, and palmprints), and the design of secure authentication systems.

• Medical image processing is an essential technology for computer-aided diagnosis. We investigate accurate image processing and analysis techniques to support medical diagnosis from medical images acquired by MRI, ultrasound, OCT, etc.

• 3D computer vision is a technique for reconstructing the 3D shape of an object from multiple images. We investigate high-accuracy and high-quality 3D restoration methods using an image matching technique based on a fusion of image/signal processing and deep machine learning.

• Through industry-academia and interdisciplinary collaborations, we discover new paradigms and applications for
  one- and multi-dimensional signal and data analysis.