Abstract: In some aspects, the techniques described herein relate to systems, methods, and computer readable media for detecting movement in a scene. A first temporal pixel image is generated based on a first set of images of a scene over time, and a second temporal pixel image is generated based on a second set of images. One or more derived values are determined based on values of the temporal pixels in the first temporal pixel image, the second temporal pixel image, or both. Correspondence data is determined based on the first temporal pixel image and the second temporal pixel image indicative of a set of correspondences between image points of the first set of images and image points of the second set of images. An indication of whether there is a likelihood of motion in the scene is determined based on the one or more derived values and the correspondence data.

Abstract: In some aspects, the techniques described herein relate to systems, methods, and computer readable media for detecting movement in a scene. A first temporal pixel image is generated based on a first set of images of a scene over time, and a second temporal pixel image is generated based on a second set of images. One or more derived values are determined based on values of the temporal pixels in the first temporal pixel image, the second temporal pixel image, or both. Correspondence data is determined based on the first temporal pixel image and the second temporal pixel image indicative of a set of correspondences between image points of the first set of images and image points of the second set of images. An indication of whether there is a likelihood of motion in the scene is determined based on the one or more derived values and the correspondence data.

Abstract: A method for calibrating an image capturing sensor including at least one sensor camera using a time coded pattern target including: displaying the target on a flat screen display, displaying a pattern sequence on the display and capturing the pattern sequence by the at least one sensor camera as a sequence of a camera images, performing an association between pixels of the target and captured image points of the camera images for at least one fixed position of the display in space or respectively for at least two different positions of the display in space, performing the calibration through corresponding points, performing a gamma correction wherein a gamma curve of the display is captured and corrected in any position of the display and/or in addition to capturing the pattern sequence in any position of the display by the at least one sensor camera before displaying the target.

Abstract: In some aspects, the techniques described herein relate to systems, methods, and computer readable media for detecting movement in a scene. A first temporal pixel image is generated based on a first set of images of a scene over time, and a second temporal pixel image is generated based on a second set of images. One or more derived values are determined based on values of the temporal pixels in the first temporal pixel image, the second temporal pixel image, or both. Correspondence data is determined based on the first temporal pixel image and the second temporal pixel image indicative of a set of correspondences between image points of the first set of images and image points of the second set of images. An indication of whether there is a likelihood of motion in the scene is determined based on the one or more derived values and the correspondence data.

Abstract: A 3D measurement method including: projecting a pattern sequence onto a moving object; capturing a first image sequence with a first camera and a second image sequence synchronously to the first image sequence with a second camera; determining corresponding image points in the two sequences; computing a trajectory of a potential object point from imaging parameters and from known movement data for each pair of image points that is to be checked for correspondence. The potential object point is imaged by both image points in case they correspond. Imaging object positions derived therefrom at each of the capture points in time into image planes respectively of the two cameras. Corresponding image points positions are determined as trajectories in the two cameras and the image points are compared with each other along predetermined image point trajectories and examined for correspondence; lastly performing 3D measurement of the moved object by triangulation.

Abstract: The techniques described herein relate to methods, apparatus, and computer readable media for efficiently processing data of initial correspondence assignments, e.g., for three-dimensional reconstruction of an object. In some aspects, the system includes a processor configured to perform the acts of receiving a first set of images of a scene and a second set of images of the scene, determining a first pixel fingerprint based on the first set of images and a second pixel fingerprint based on the second set of images, generating a first binary pixel fingerprint based on the first pixel fingerprint and a second binary pixel fingerprint based on the second pixel fingerprint, and determining whether there exists a stereo correspondence between the first pixel fingerprint and the second pixel fingerprint at least in part based on comparing the first binary pixel fingerprint and the second binary pixel fingerprint.

Abstract: In some aspects, the techniques described herein relate to systems, methods, and computer readable media for generating, based on a set of images, a temporal pixel image comprising a set of temporal pixels, where each temporal pixel in the set of temporal pixels comprises a set of pixel values at an associated position from each image of the set of images. For a first temporal pixel from the set of temporal pixels, saturation data comprising a set of saturation values is generated, where each saturation value of the set of saturation values is associated with a pixel value of the set of pixel values of the first temporal pixel, and each pixel value is compared to a metric to determine a corresponding saturation value.

Abstract: A 3D measurement method including: projecting a pattern sequence onto a moving object; capturing a first image sequence with a first camera and a second image sequence synchronously to the first image sequence with a second camera; determining corresponding image points in the two sequences; computing a trajectory of a potential object point from imaging parameters and from known movement data for each pair of image points that is to be checked for correspondence. The potential object point is imaged by both image points in case they correspond. Imaging object positions derived therefrom at each of the capture points in time into image planes respectively of the two cameras. Corresponding image points positions are determined as trajectories in the two cameras and the image points are compared with each other along predetermined image point trajectories and examined for correspondence; lastly performing 3D measurement of the moved object by triangulation.

Abstract: In some aspects, the techniques described herein relate to systems, methods, and computer readable media for detecting movement in a scene. A first temporal pixel image is generated based on a first set of images of a scene over time, and a second temporal pixel image is generated based on a second set of images. One or more derived values are determined based on values of the temporal pixels in the first temporal pixel image, the second temporal pixel image, or both. Correspondence data is determined based on the first temporal pixel image and the second temporal pixel image indicative of a set of correspondences between image points of the first set of images and image points of the second set of images. An indication of whether there is a likelihood of motion in the scene is determined based on the one or more derived values and the correspondence data.

Abstract: A 3D measurement method including; projecting a pattern sequence onto a moving object; capturing a first image sequence with a first camera and a second image sequence synchronously to the first image sequence with a second camera; determining corresponding image points in the two sequences; computing a trajectory of a potential object point from imaging parameters and from known movement data for each pair of image points that is to be checked for correspondence. The potential object point is imaged by both image points in case they correspond. Imaging object positions derived therefrom at each of the capture points in time into image planes respectively of the two cameras. Corresponding image points positions are determined as trajectories in the two cameras and the image points are compared with each other along predetermined image point trajectories and examined for correspondence; lastly performing 3D measurement of the moved object by triangulation.

Abstract: A 3D measurement method including; projecting a pattern sequence onto a moving object; capturing a first image sequence with a first camera and a second image sequence synchronously to the first image sequence with a second camera; determining corresponding image points in the two sequences; computing a trajectory of a potential object point from imaging parameters and from known movement data for each pair of image points that is to be checked for correspondence. The potential object point is imaged by both image points in case they correspond. Imaging object positions derived therefrom at each of the capture points in time into image planes respectively of the two cameras.

Abstract: A device for projecting a time variable optical pattern onto an object that is to be measured in three dimensions, the device comprising a frame for an optical pattern; a light source with optional illumination optics; and imaging optics, wherein the optical pattern is on slide that is attached to a movement mechanism that moves the optical pattern relative to the optional illumination optics and/or relative to the imaging optics, wherein the movement mechanism causes a movement of the optical pattern in a slide plane that is oriented orthogonal to an optical axis of the imaging optics.

Abstract: The techniques described herein relate to methods, apparatus, and computer readable media for efficiently processing data of initial correspondence assignments, e.g., for three-dimensional reconstruction of an object. In some aspects, the system includes a processor configured to perform the acts of receiving a first set of images of a scene and a second set of images of the scene, determining a first pixel fingerprint based on the first set of images and a second pixel fingerprint based on the second set of images, generating a first binary pixel fingerprint based on the first pixel fingerprint and a second binary pixel fingerprint based on the second pixel fingerprint, and determining whether there exists a stereo correspondence between the first pixel fingerprint and the second pixel fingerprint at least in part based on comparing the first binary pixel fingerprint and the second binary pixel fingerprint.

Abstract: A 3D measurement method including; projecting a pattern sequence onto a moving object; capturing a first image sequence with a first camera and a second image sequence synchronously to the first image sequence with a second camera; determining corresponding image points in the two sequences; computing a trajectory of a potential object point from imaging parameters and from known movement data for each pair of image points that is to be checked for correspondence, The potential object point is imaged by both image points in case they correspond. Imaging object positions derived therefrom at each of the capture points in time into image planes respectively of the two cameras. Corresponding image points positions are determined as trajectories in the two cameras and the image points are compared with each other along predetermined image point trajectories and examined for correspondence; lastly performing 3D measurement of the moved object by triangulation.

Abstract: In some aspects, the techniques described herein relate to systems, methods, and computer readable media for data pre-processing for stereo-temporal image sequences to improve three-dimensional data reconstruction. In some aspects, the techniques described herein relate to systems, methods, and computer readable media for improved correspondence refinement for image areas affected by oversaturation. In some aspects, the techniques described herein relate to systems, methods, and computer readable media configured to fill missing correspondences to improve three-dimensional (3-D) reconstruction. The techniques include identifying image points without correspondences, using existing correspondences and/or other information to generate approximated correspondences, and cross-checking the approximated correspondences to determine whether the approximated correspondences should be used for the image processing.

Abstract: A device for projecting a time variable optical pattern onto an object that is to be measured in three dimensions, the device comprising a frame for an optical pattern; a light source with optional illumination optics; and imaging optics, wherein the optical pattern is on slide that is attached to a movement mechanism that moves the optical pattern relative to the optional illumination optics and/or relative to the imaging optics, wherein the movement mechanism causes a movement of the optical pattern in a slide plane that is oriented orthogonal to an optical axis of the imaging optics.

Abstract: A method for calibrating an image capturing sensor including at least one sensor camera using a time coded pattern target including: displaying the target on a flat screen display, displaying a pattern sequence on the display and capturing the pattern sequence by the at least one sensor camera as a sequence of a camera images, performing an association between pixels of the target and captured image points of the camera images for at least one fixed position of the display in space or respectively for at least two different positions of the display in space, performing the calibration through corresponding points, performing a gamma correction wherein a gamma curve of the display is captured and corrected in any position of the display and/or in addition to capturing the pattern sequence in any position of the display by the at least one sensor camera before displaying the target.

Abstract: A 3D measurement method including; projecting a pattern sequence onto a moving object; capturing a first image sequence with a first camera and a second image sequence synchronously to the first image sequence with a second camera; determining corresponding image points in the two sequences; computing a trajectory of a potential object point from imaging parameters and from known movement data for each pair of image points that is to be checked for correspondence, The potential object point is imaged by both image points in case they correspond. Imaging object positions derived therefrom at each of the capture points in time into image planes respectively of the two cameras.