A process generates a lookup table to estimate spatial depth in a visual scene. The process identifies subsets of illuminators of a camera system with image sensors and illuminators. The image sensors are associated with multiple pixels. For each pixel, and for each of multiple depths from the pixel, the process simulates a virtual surface at the depth. For each subset of the subsets of illuminators, the process simulates illumination of the virtual surface from the subset and determines an expected light intensity at the pixel from light reflected from the virtual surface due to the simulated illumination. The process forms intensity information from the expected light intensity determined for the pixel for each of the depths and each of the subsets. The process constructs a lookup table comprising the intensity information. The lookup table associates the intensity information for each pixel with the respective depth and the respective subset.

Methods, systems, and apparatus, including computer programs encoded on a storage device, for generating a three-dimensional map of a property. The method includes storing at least a portion of an initial map modification data structure, receiving an instruction that instructs the robotic device to initiate property mapping, obtaining image data describing a portion of the property that is mounted to the robotic device, analyzing the obtained image data to determine whether the image data depicts a marker, in response to a determination that the obtained image data depicts a marker, determining the pose of the camera that is mounted to the robotic device, updating the initial map modification data structure using the pose of the camera that is mounted to the robotic device, obtaining an initial three-dimensional map of the property; and modifying the initial three-dimensional map of the property based on the updated map modification data structure.

A head-mounted display device includes an eye tracking sensor configured to obtain eye information by tracking both eyes of a user, a depth sensor configured to obtain depth information about one or more objects, and a processor configured to obtain information about a gaze point based on the eye information, and determine a measurement parameter of the depth sensor based on the information about the gaze point.

A method of real-time plant selection and removal from a plant field including capturing a first image of a first section of the plant field, segmenting the first image into regions indicative of individual plants within the first section, selecting the optimal plants for retention from the first image based on the first image and the previously thinned plant field sections, sending instructions to the plant removal mechanism for removal of the plants corresponding to the unselected regions of the first image from the second section before the machine passes the unselected regions, and repeating the aforementioned steps for a second section of the plant field adjacent the first section in the direction of machine travel.

Optoelectronic systems include an array of optoelectronic modules and a computational unit. The array of optoelectronic modules and the computational unit are operable to collect data of a user of the optoelectronic system. The data can be used, for example, to authenticate the identity of the user by being used in multiple user authentication protocols. In some instances, facial recognition data can be augmented with three-dimensional data of the user and can be combined with iris recognition data to authenticate the identity of the user. Such optoelectronic systems can comprise hardware authentication systems external to auxiliary devices such as tablet computers and laptop computers.

In accordance with some embodiments, systems, methods and media for directly recovering planar surfaces in a scene using structured light are provided. In some embodiments, a system comprises: a light source; an image sensor; a processor programmed to: cause the light source to emit a pattern comprising a pattern feature with two line segments that intersect on an epipolar line; cause the image sensor to capture an image including the pattern; identify an image feature in the image, the image feature comprising two intersecting line segments that intersect at a point in the image that corresponds to the first epipolar line; estimate a plane hypothesis associated with the pattern feature based on properties of the pattern feature and properties of the image feature, the plane hypothesis associated with a set of parameters characterizing a plane; and identify a planar surface in the scene based on the plane hypothesis.

A liquid crystal display (LCD) device and an organic light-emitting diode (OLED) display device are disclosed. The LCD device includes a base substrate, a display module, and a liquid crystal lens layer. The display module includes a fingerprint recognition sensor. The OLED display device includes a base substrate, a fingerprint recognition sensor, a two-layered liquid crystal lens layer, and an OLED display. The liquid crystal lens layer is configured to be switchable between a non-lens state and a lens state. By adopting liquid crystal lenses with holes, utilization of reflected light reflected by a fingerprint can be improved and imaging quality can be optimized.

An object recognition system includes a two-dimensional carrier medium which can be disposed on a component in a vehicle interior. The carrier medium is configured as a light guide, and a coupling-in region and a coupling-out region are disposed on the carrier medium. Light from a surrounding area is coupled into the carrier medium via the coupling-in region, is transmitted to the coupling-out region by internal reflection, and is coupled out of the carrier medium. The object recognition system further includes an image capturing device to capture the light that is coupled out and provides the light coupled out of the carrier medium in a form of image data. The object recognition system further includes an evaluation device to capture an object in the surrounding area based on the image data, to recognize the object based on an object recognition criterion, and to provide object data describing the object.

An apparatus includes a display screen that includes OLED pixels disposed at a particular pitch in a first plane. A light projector includes light emitting elements disposed in a second plane parallel to the first plane. The light emitting elements are disposed at the same pitch as the OLED pixels or at an integer multiple of the pitch of the plurality of OLED pixels. The light emitting elements are operable to produce light at a wavelength for transmission through the display screen, and the first and second planes are separated from one another by a distance D such that d.sup.2=2*(λ)*(D)/(N), where d is the pitch of the OLED pixels, λ is the wavelength, and N is a positive integer.

A method for providing three-dimensional (3-D) digitization of a scene with increased accuracy, speed and detail detection establishing a bijective association of distinguishable plurality of strips projected onto a 3-D scene.

A 3-D imaging system obtaining frames of 3-D measurements by projecting polygonal formation of linear strips with unrestricted relative motion providing substantially denser sampling of 3-D scene.