Abstract: A multispectral synchronized imaging system is provided. A multispectral light source of the system comprises: blue, green and red LEDs, and one or more non-visible light sources, each being independently addressable and configured to emit, in a sequence: at least visible white light, and non-visible light in one or more given non-visible frequency ranges. The system further comprises a camera and an optical filter arranged to filter light received at the camera, by: transmitting visible light from the LEDs; filter out non-visible light from the non-visible light sources; and otherwise transmit excited light emitted by a tissue sample excited by non-visible light. Images acquired by the camera are output to a display device. A control unit synchronizes acquisition of respective images at the camera for each of blue light, green light, visible white light, and excited light received at the camera, as reflected by the tissue sample.

Abstract: A multispectral synchronized imaging system is provided. A multispectral light source of the system comprises: blue, green and red LEDs, and one or more non-visible light sources, each being independently addressable and configured to emit, in a sequence: at least visible white light, and non-visible light in one or more given non-visible frequency ranges. The system further comprises a camera and an optical filter arranged to filter light received at the camera, by: transmitting visible light from the LEDs; filter out non-visible light from the non-visible light sources; and otherwise transmit excited light emitted by a tissue sample excited by non-visible light. Images acquired by the camera are output to a display device. A control unit synchronizes acquisition of respective images at the camera for each of blue light, green light, visible white light, and excited light received at the camera, as reflected by the tissue sample.

Abstract: A multispectral synchronized imaging system is provided. A multispectral light source of the system includes: blue, green and red LEDs, and one or more non-visible light sources, each being independently addressable and configured to emit, in a sequence: at least visible white light, and non-visible light in one or more given non-visible frequency ranges. The system further includes a camera and an optical filter arranged to filter light received at the camera, by: transmitting visible light from the LEDs; filter out non-visible light from the non-visible light sources; and otherwise transmit excited light emitted by a tissue sample excited by non-visible light. Images acquired by the camera are output to a display device. A control unit synchronizes acquisition of respective images at the camera for each of blue light, green light, visible white light, and excited light received at the camera, as reflected by the tissue sample.

Abstract: A system for producing 3D video using first and second cameras on first and second axes. The second camera has a field of view (FOV) overlapping with the first camera's FOV. The second axis is at a convergence angle relative to the first axis. A control computer changes the inter-camera distance by effectively moving the second camera laterally, and changes convergence angle by effectively rotating the second camera. The control computer automatically calculates the inter-camera distance and convergence angle based on the distance of a user to the display screen, working distance of the cameras, zoom settings, and size of the screen, and effectively moves the second camera accordingly. A keystone correction is performed to account for the camera projections, the frames are rotationally aligned, and the corrected/aligned frames are combined to produce a 3D image frame that is displayed on a 3D display screen.

Abstract: A system for producing 3D video using first and second cameras on first and second axes. The second camera has a field of view (FOV) overlapping with the first camera's FOV. The second axis is at a convergence angle relative to the first axis. A control computer changes the inter-camera distance by effectively moving the second camera laterally, and changes convergence angle by effectively rotating the second camera. The control computer automatically calculates the inter-camera distance and convergence angle based on the distance of a user to the display screen, working distance of the cameras, zoom settings, and size of the screen, and effectively moves the second camera accordingly. A keystone correction is performed to account for the camera projections, the frames are rotationally aligned, and the corrected/aligned frames are combined to produce a 3D image frame that is displayed on a 3D display screen.

Abstract: A system and method for stabilizing video using a census kernel having test points. A subset form a connected circle centered on the kernel's center point. For each candidate pixel, a signature is calculated based on the relative brightness of the candidate pixel and of the pixels corresponding to test points when the kernel overlays the image with the center point over the candidate pixel. A candidate pixel is designated to be a corner pixel by processing the signature to determine that the candidate pixel is significantly brighter or darker than the test point pixels. For each corner pixel, a corresponding pixel in the previous frame is identified by comparing the signature of the corner pixel with signatures of pixels in the previous frame, and a corresponding motion vector is established. A motion model is calculated based on the motion vectors and applied to the digital frame.

Abstract: A system and method for stabilizing video using a census kernel having test points. A subset form a connected circle centered on the kernel's center point. For each candidate pixel, a signature is calculated based on the relative brightness of the candidate pixel and of the pixels corresponding to test points when the kernel overlays the image with the center point over the candidate pixel. A candidate pixel is designated to be a corner pixel by processing the signature to determine that the candidate pixel is significantly brighter or darker than the test point pixels. For each corner pixel, a corresponding pixel in the previous frame is identified by comparing the signature of the corner pixel with signatures of pixels in the previous frame, and a corresponding motion vector is established. A motion model is calculated based on the motion vectors and applied to the digital frame.

Abstract: A multispectral synchronized imaging system is provided. A multispectral light source of the system includes: blue, green and red LEDs, and one or more non-visible light sources, each being independently addressable and configured to emit, in a sequence: at least visible white light, and non-visible light in one or more given non-visible frequency ranges. The system further includes a camera and an optical filter arranged to filter light received at the camera, by: transmitting visible light from the LEDs; filter out non-visible light from the non-visible light sources; and otherwise transmit excited light emitted by a tissue sample excited by non-visible light. Images acquired by the camera are output to a display device. A control unit synchronizes acquisition of respective images at the camera for each of blue light, green light, visible white light, and excited light received at the camera, as reflected by the tissue sample.