Authors:
Shigeru Ando
1
;
Toru Kurihara
1
and
Dabi Wei
2
Affiliations:
1
University of Tokyo, Japan
;
2
Tokyo Institute of Technology, Japan
Keyword(s):
Optical flow equation, Weighted integral method, Modulated imaging, Correlation image sensor, Computer vision, Velocity field measurement, Particle image velocimetry.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Computer Vision, Visualization and Computer Graphics
;
Human-Computer Interaction
;
Image Filtering
;
Image Formation and Preprocessing
;
Image Formation, Acquisition Devices and Sensors
;
Matching Correspondence and Flow
;
Methodologies and Methods
;
Motion and Tracking
;
Motion, Tracking and Stereo Vision
;
Pattern Recognition
;
Physiological Computing Systems
Abstract:
A novel mathematical method and a sensing system that detects velocity vector distribution on an optical image with a pixel-wise spatial resolution and a frame-wise temporal resolution is proposed. It is provided by the complex sinusoidally-modulated imaging using the three-phase correlation image sensor (3PCIS) and the exact algebraic inversion method based on the optical flow identity (OFI) satisfied by an intensity image and a complex-sinusoidally modulated image captured by the 3PCIS. Since the OFI is free from time derivatives, any limitations on the object velocity and inaccuracies due to approximated time derivatives is thoroughly avoided. An experimental system was constructed with a 320×256 pixel 3PCIS device and a standard PC for inversion operations and display. Several experimental results are shown including the dense motion capture of face and gesture and the particle image velocimetry of water vortices.