Buddha Face and AI

In collaboration with Prof. Fujioka with Graduate School of Letters/School of Letters, Osaka University, we are attempting to create an AI for analyzing various aspects of Buddha faces in images.

Focusing on the face of the Buddha image, i.e., “Buddha face”, we analyze the characteristics of the style of each region, era, and author using statistical and machine learning approaches based on images and 3D geometric data, building a genealogy of Buddha faces. This is to realize style judgment based on the knowledge obtained from data, not based on the experience of art historians, which promotes the globalization of the Buddha statue research and also helps to identify the genealogy of Buddha faces propagated through the Silk Road, giving a new perspective on the spread of culture in Asia.

We have built several interfaces to browse through a large corpus of precious Buddha faces for facilitating annotations on the basic meta-data on the statues, which will then serve as a source to train more sophisticated models for analyzing them.

For example, we built a model that can embed various information on target entities (i.e., Buddha status), such as authors, eras, places, etc., into a vector representation of images and use them for other tasks like classification, through the model below.

Benjamin Renoust
Benjamin Renoust
Guest Associate Professor
Noa Garcia
Noa Garcia
Specially-Appointed Assistant Professor

Her research interests lie in computer vision and machine learning applied to visual retrieval and joint models of vision and language for high-level understanding tasks.

Yuta Nakashima
Yuta Nakashima
Associate Professor

Yuta Nakashima is an associate professor with Institute for Datability Science, Osaka University. His research interests include computer vision, pattern recognition, natural langauge processing, and their applications.

Noriko Takemura
Noriko Takemura
Guest Associate Professor

She is working on ambient intelligence and gait recognition using pattern recognition and machine learning.

Hajime Nagahara
Hajime Nagahara
Professor

He is working on computer vision and pattern recognition. His main research interests lie in image/video recognition and understanding, as well as applications of natural language processing techniques.