Abstract: A method for tracking moving particles in a fluid. The method includes illuminating the moving particles with an illumination sequence of patterns generated by a light projector; measuring with a single camera light intensities reflected by the moving particles; calculating, based on the measured light intensity, digital coordinates (x?, y?, z?) of the moving particles; determining a mapping function f that maps the digital coordinates (x?, y?, z?) of the moving particles to physical coordinates (x, y, z) of the moving particles; and calculating the physical coordinates (x, y, z) of the moving particles based on the mapping function f. The illumination sequence of patterns is generated with a single wavelength, and light emitted by the projector is perpendicular to light received by the single camera.

Abstract: A method for tracking moving particles in a fluid. The method includes illuminating the moving particles with an illumination sequence of patterns generated by a light projector; measuring with a single camera light intensities reflected by the moving particles; calculating, based on the measured light intensity, digital coordinates (x?, y?, z?) of the moving particles; determining a mapping function f that maps the digital coordinates (x?, y?, z?) of the moving particles to physical coordinates (x, y, z) of the moving particles; and calculating the physical coordinates (x, y, z) of the moving particles based on the mapping function f. The illumination sequence of patterns is generated with a single wavelength, and light emitted by the projector is perpendicular to light received by the single camera.

Abstract: Imaging of complex, non-stationary three dimensional (3D) flow velocities is achieved by encoding depth into color. A flow volume 22 is illuminated with a continuum 40 of light planes 42 whereby each depth corresponds to a respective light plane 14 having a specific wavelength of light. A diffractive component 46 in the camera 24 optics, which records the trajectories of illuminated particles 20 within the flow volume 22, ensures that all light planes 42 are in focus simultaneously. The setup permits a user to track 3D) trajectories of particles 20 within the flow volume 22 by combining two dimensional (2D) spatial and one dimensional (1D) color information. For reconstruction, an image formation model for recovering stationary ID particle positions is provided. 3D velocity estimation is achieved with a variant of a 3D optical flow approach that accounts for both physical constraints as well as the color (rainbow) image formation model.

Abstract: Imaging of complex, non-stationary three dimensional (3D) flow velocities is achieved by encoding depth into color. A flow volume 22 is illuminated with a continuum 40 of light planes 42 whereby each depth corresponds to a respective light plane 14 having a specific wavelength of light. A diffractive component 46 in the camera 24 optics, which records the trajectories of illuminated particles 20 within the flow volume 22, ensures that all light planes 42 are in focus simultaneously. The setup permits a user to track 3D trajectories of particles 20 within the flow volume 22 by combining two dimensional (2D) spatial and one dimensional (1D) color information. For reconstruction, an image formation model for recovering stationary 3D particle positions is provided. 3D velocity estimation is achieved with a variant of a 3D optical flow approach that accounts for both physical constraints as well as the color (rainbow) image formation model.

Abstract: Imaging of complex, non-stationary three dimensional (3D) flow velocities is achieved by encoding depth into color. A flow volume 22 is illuminated with a continuum 40 of light planes 42 whereby each depth corresponds to a respective light plane 14 having a specific wavelength of light. A diffractive component 46 in the camera 24 optics, which records the trajectories of illuminated particles 20 within the flow volume 22, ensures that all light planes 42 are in focus simultaneously. The setup permits a user to track 3D trajectories of particles 20 within the flow volume 22 by combining two dimensional (2D) spatial and one dimensional (1D) color information. For reconstruction, an image formation model for recovering stationary 3D particle positions is provided. 3D velocity estimation is achieved with a variant of a 3D optical flow approach that accounts for both physical constraints as well as the color (rainbow) image formation model.