Project Overview

Project Overview

This is one of the core projects of Morishima-lab. in which Future Cast System is drastically updated and advanced to be a very affordable technology. A face geometry estimation method with light calculation cost and high accuracy only from a single picture using face prior from a collected face database is proposed at first. Then from video captured face image, a much more accurate 3D face geometry can be reconstructed by utilizing a Structure-from-Motion method to calculate 3D coordinates of sparse feature points as well as a former 2D feature points and face priors of frontal face image. And now, new trial is performed to achieve a higher depth accuracy by utilizing a normal information calculated by Shape-from-shading or by utilizing only a diagonal face silhouette curve information.

Face rotation angle adjustment method to achieve a higher performance of face authentication system and also an accurate skull fitting method to a head part of face image to estimate a stable local coordinate when facial expression change are composing a recent our hot topics. Based on these basic techniques, applications for a fat and slim simulation of face image by skull fitting method, an accurate face landmark point detection with small database and a highly accurate detection of an early stage of car driver’s drowsiness in a dashboard mounted video are also included in this project. Recently, a modeling of personal characteristics in face is focused and tackled strongly to improve a face aging performance and to control a real variation of attribute in face.

This project is supported by Ministry of Education, Culture, Sports, Science and Technology and OKI cooperation.

  • 期間:平成26年度(2014)-平成28年度(2016)
  • 補助事業名:文部科学省 科学研究費補助金
  • 課題名:個人特徴を表現可能な動画像に基づくフォトリアルな顔の分析・合成の研究
  • 配分額:12,500千円

Related Images

Related Images

A location of skull is estimated based on MRI database. The slim-fat simulation is realized by controlling a thickness of a fat layer.


Results of estimated face geometry. Based on upper images, face geometry is estimated as a shading model in the middle and texture mapped image in the bottom.


Related Themes

Related Themes

3D Reconstruction of Face and Body

Excerpt of 3D Reconstruction of Face and Body

Facial Feature Points Detection

Excerpt of Facial Feature Points Detection

Drowsiness Detection of Driver

Excerpt of Drowsiness Detection of Driver

Image Interpolation and In-betweening

Excerpt of Image Interpolation and In-betweening

Image Deburring and Super Resolution

Excerpt of Image Deburring and Super Resolution

Facial Expression Recognition and Space Modeling

Excerpt of Facial Expression Recognition and Space Modeling

Face Authentication System

Face Authentication System