Abstract: A wavefront sensor includes a mask and a sensor utilized to capture a diffraction pattern generated by light incident to the mask. A reference image is captured in response to a plane wavefront incident on the mask, and another measurement image is captured in response to a distorted wavefront incident on the mask. The distorted wavefront is reconstructed based on differences between the reference image and the measurement image.

Abstract: A wavefront sensor includes a mask and a sensor utilized to capture a diffraction pattern generated by light incident to the mask. A reference image is captured in response to a plane wavefront incident on the mask, and another measurement image is captured in response to a distorted wavefront incident on the mask. The distorted wavefront is reconstructed based on differences between the reference image and the measurement image.

Abstract: A wavefront sensor includes a mask and a sensor utilized to capture a diffraction pattern generated by light incident to the mask. A reference image is captured in response to a plane wavefront incident on the mask, and another measurement image is captured in response to a distorted wavefront incident on the mask. The distorted wavefront is reconstructed based on differences between the reference image and the measurement image.

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: A wavefront sensor includes a mask and a sensor utilized to capture a diffraction pattern generated by light incident to the mask. A reference image is captured in response to a plane wavefront incident on the mask, and another measurement image is captured in response to a distorted wavefront incident on the mask. The distorted wavefront is reconstructed based on differences between the reference image and the measurement image.

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.