A three-dimensional sensor system includes three cameras, a projector, and a processor. The projector simultaneously projects at least two linear patterns on the surface of an object. The three cameras synchronously capture a first two-dimensional (2D) image, a second 2D image, and a third 2D image of the object, respectively. The processor extracts a first set and a second set of 2D lines from the at least two linear patterns on the first 2D image and the second 2D image, respectively; generates a candidate set of three-dimensional (3D) points from the first set and the second set of 2D lines; and selects, from the candidate set of 3D points, an authentic set of 3D points that matches a projection contour line of the object surface by: performing data verification on the candidate set of 3D points using the third 2D image, and filtering the candidate set of 3D points.

A method, system, and computer program product for optical inspection of objects. The method projects an optical test line on a device under test. A frame is captured of the optical test line projected onto the device under test. The method provides a reference line for the device under test and compares the reference line and the optical test line within the frame. The method generates a visual quality determination based on the comparison of the reference line and the optical test line.

There is provided systems and methods for performing actions based on light signatures. An exemplary system includes a light source, a light detector, a non-transitory memory storing a plurality of light signatures and a hardware processor. The hardware processor executes an executable code to illuminate, using the light source, a target object with a first light, collect, using the light detector, a second light being a reflection of the first light by the target object, match the second light with one of the plurality of light signatures, and perform an action in response to matching the second light with the one of the plurality of light signatures.

Described examples include an optical device having a first light source configured to provide a first light having a first characteristic. The optical device also has a second light source configured to provide a second light having a second characteristic. The optical device also has a combiner configured to combine the first light and the second light to provide a combined light. The optical device also has a spatial light modulator configured to modulate the combined light to provide modulated combined light. The optical device also has a divider configured to receive the modulated combined light and to direct a first portion of the modulated combined light having the first characteristic to a first target and to direct a second portion of the modulated combined light having the second characteristic to a second target.

A detection device includes a sensor area provided with a plurality of detection elements each comprising a photoelectric conversion element in a detection area, and a detector configured to detect a potential difference between a voltage generated in a first detection element and a voltage generated in a second detection element adjacent to the first detection element in the detection area.

A detection device includes a sensor area provided with a plurality of detection elements each comprising a photoelectric conversion element in a detection area, and a detector configured to detect a potential difference between a voltage generated in a first detection element and a voltage generated in a second detection element adjacent to the first detection element in the detection area.

A display panel is provided to include a substrate; a photoelectric sensing structure on a side of the substrate; a light emitting structure on a side of the photoelectric sensing structure distal to the substrate, and light emitting elements, each of which includes: a first electrode, a light emitting layer, and a second electrode which are successively in a direction distal to the substrate; and a light path structure between the photoelectric sensing structure and the second electrode, and configured to collimate light on a side of the photoelectric sensing structure distal to the substrate and having a propagation direction towards the photoelectric sensing structure; the photoelectric sensing structure and the light emitting structure do not overlap or partially overlap in a direction perpendicular to the substrate; and the light path structure at least partially overlaps the photoelectric sensing structure in the direction. The embodiment also provides a display device.

A display panel is provided to include a substrate; a photoelectric sensing structure on a side of the substrate; a light emitting structure on a side of the photoelectric sensing structure distal to the substrate, and light emitting elements, each of which includes: a first electrode, a light emitting layer, and a second electrode which are successively in a direction distal to the substrate; and a light path structure between the photoelectric sensing structure and the second electrode, and configured to collimate light on a side of the photoelectric sensing structure distal to the substrate and having a propagation direction towards the photoelectric sensing structure; the photoelectric sensing structure and the light emitting structure do not overlap or partially overlap in a direction perpendicular to the substrate; and the light path structure at least partially overlaps the photoelectric sensing structure in the direction. The embodiment also provides a display device.

A system, apparatus and method of obtaining data from a 2D image in order to determine the 3D shape of objects appearing in said 2D image, said 2D image having distinguishable epipolar lines, said method comprising: (a) providing a predefined set of types of features, giving rise to feature types, each feature type being distinguishable according to a unique bi-dimensional formation; (b) providing a coded light pattern comprising multiple appearances of said feature types; (c) projecting said coded light pattern on said objects such that the distance between epipolar lines associated with substantially identical features is less than the distance between corresponding locations of two neighboring features; (d) capturing a 2D image of said objects having said projected coded light pattern projected thereupon, said 2D image comprising reflected said feature types; and (e) extracting: (i) said reflected feature types according to the unique bi-dimensional formations; and (ii) locations of said reflected feature types on respective epipolar lines in said 2D image.

A method, apparatus and system for human skeleton pose estimation includes synchronously capturing images of a human moving through an area from a plurality of different points of view, for each of the plurality of captured images, determining a bounding box that bounds the human in the captured image and identifying pixel locations of the bounding box in the image, for each of the plurality of captured images, determining 2D and single-view 3D skeletons from the pixel locations of the bounding box, determining a first, multi-view 3D skeleton using a combination of the 2D and single-view 3D skeletons, and optimizing the first, multi-view 3D skeleton to determine a final 3D skeleton pose for the human. The method, apparatus and system can further include illuminating the area with structured light during the capturing of the images of the human moving through the area.