2013 Fiscal Year Final Research Report

Scale-space analysis for point sets on the sphere and applications to computer vision

Research Project

Project/Area Number	23800059
Research Category	Grant-in-Aid for Research Activity Start-up
Allocation Type	Single-year Grants
Research Field	Perception information processing/Intelligent robotics
Research Institution	Waseda University
Principal Investigator	MOCHIZUKI Yoshihiko 早稲田大学, 理工学術院, 助教 (00609191)
Project Period (FY)	2011-08-24 – 2013-03-31
Keywords	尺度空間解析 / 球面画像解析 / 全方位画像 / クラスタリング / オプティカルフロー
Research Abstract	Scale-space analysis has been typically discussed on the Euclidean space. This study extends the analysis to the spherical space to reveal theoretical foundations on the space and to develop some practical methods for computer vision problems. Two methods, spherical clustering and spherical optical flow computation, were evaluated by applying to images captured by omnidirectional camera, which has a large field of view. The results show that the proposed methods enable us to build the various systems for vision-based problems efficiently and robustly.