Computer Vision for Shitukan Analysis

2014 Fiscal Year Final Research Report

• Project Area: Integrative studies of neural mechanisms and advanced information technologies for perception of material and surface qualities
• Project/Area Number: 22135002
• Research Category: Grant-in-Aid for Scientific Research on Innovative Areas (Research in a proposed research area)
• Allocation Type: Single-year Grants
• Review Section: Complex systems
• Research Institution: National Institute of Informatics
• Principal Investigator: SATO Imari 国立情報学研究所, コンテンツ科学研究系, 准教授 (50413927)
• Co-Investigator(Kenkyū-buntansha): SATO Yoichi 東京大学, 生産技術研究所, 教授 (70302627) ; OKABE Takahiro 九州工業大学, 大学院情報工学研究員, 准教授 (00396904)
• Co-Investigator(Renkei-kenkyūsha): LAM Antony 埼玉大学, 理工学研究科, 助教 ; ZHENG Yinqiang 国立情報学研究所, コンテンツ科学研究系, 研究員
• Project Period (FY): 2010-04-01 – 2015-03-31
• Keywords: 形状推定 / 反射，蛍光解析 / インバースレンダリング / 質感知覚

Outline of Final Research Achievements

The goal of our project is modeling and predicting the complex appearance of real objects under natural illumination conditions. The appearance of an object is greatly influenced by its surface materials as well as the surrounding illumination, and it is essential for scene understanding to be able to predict its variation. We will develop image-based and inverse-rendering approaches to modeling objects’ shapes and reflectance solely from images taken under varying lighting conditions.

Free Research Field

コンピュータビジョン