The embodiments disclose a method comprising creating 3D models of an orchard with multiple plants in the form of a densified point cloud using oblique aerial RGB imaging and photogrammetry, identifying and segmenting individual plants of the orchard from the 3D models, simulating sunlight radiation in the 3D models, determining a shading effect of branches and neighboring plants on each individual plant at any time of the day, determining canopy light interception of each plant, analyzing canopy geometry of each plant in the 3D models, forecasting potential yield of each plant based on the measured canopy light interception and calculating nitrogen and water requirements of each plant based on the potential yield and other predetermined field, environmental and climate factors and validating the yield forecasting model using the canopy light interception data by measuring the actual yield for each plant.

Systems and methods for generating a three-dimensional representation of a surface using frustrated total internal reflection. The system may obtain a two-dimensional image of an object in close proximity to an imaging surface. The intensity of the electromagnetic radiation received for individual points on the object may be determined. The system may determine a distance between the imaging surface and the object at each of the individual points based on a correlation between the electromagnetic radiation transmitted towards the imaging surface and the electromagnetic radiation reflected from the imaging surface. The determined intensity of the electromagnetic radiation may indicate the electromagnetic radiation reflected from the imaging surface. A three-dimensional representation of the object may be generated based on the two-dimensional image and/or the determined distances between the imaging surface and the object at each of the individual points.

In variants, a method for item recognition can include: optionally calibrating a sampling system, determining visual data using the sampling system, determining a point cloud, determining region masks based on the point cloud, generating a surface reconstruction for each item, generating image segments for each item based on the surface reconstruction, and determining a class identifier for each item using the respective image segments.

A device and a method for contactless fingerprint acquisition is provided. The contactless fingerprint acquisition device includes a housing including a finger scanning area for at least one finger; at least two image capturing devices located in the housing and arranged in a predetermined baseline distance, each image capturing device having an optical axis in a predetermined angle with the vertical direction; and, a lighting unit in the housing for illuminating the at least one finger. The at least two image capturing devices are operable to acquire a plurality of partial fingerprint images of the at least one finger, and the plurality of partial fingerprint images correspond to different portions of the at least one finger.

A measuring system for acquiring three-dimensional measuring points, comprising a base unit, a support unit mounted on the base unit and rotatable relative to the base unit around an azimuth axis, an emitting unit, a receiving unit, a directing unit mounted in the support unit, and configured for directing a transmission beam from the emitting unit towards a scene, directing a reception beam from the scene to the receiving unit, a first actuator configured for rotating the support unit relative to the base unit around the azimuth axis, a second actuator configured for rotating the directing unit relative to the support unit around the elevation axis, a first angle encoder configured for measuring a rotatory position of the support unit, a second angle encoder configured for measuring a rotatory position of the directing unit, a camera comprising an image sensor.

A light-emitting device includes a light diffusing member that diffuses light emitted from a light source so that an object to be measured is irradiated with the light; and a holding unit that holds the light diffusing member and is provided on a wire connected to the light source so as to be located in an uncoated region of the wire.

Systems and methods for realizing practical applications of high speed digital image correlation (DIC) for dynamic quantities of interest are provided. In particular, a series of images are captured for a component of interest in which a non-filtered sensor and an analog low-pass filtered sensor are included within the region of interest for the series of images. Displacement signals are obtained for the component of interest, the non-filtered sensor, and the analog low-pass filtered sensor by applying digital image correlation processing to the series of images, which may also be wavelet filtered. Dynamic quantities of interest may be generated and derived from the displacement signals after having been wavelet filtered. Such dynamic quantities of interest based on the wavelet filtered DIC-derived displacement signal may be compared to sensor-derived dynamic quantities of interest to determine if aliasing is or is likely to be present.

A dimensioning system can include stored data indicative of coordinate locations of each reference element in a reference image containing a pseudorandom pattern of elements. Data indicative of the coordinates of elements appearing in an acquired image of a three-dimensional space including an object can be compared to the stored data indicative of coordinate locations of each reference element. After the elements in the acquired image corresponding to the reference elements in the reference image are identified, a spatial correlation between the acquired image and the reference image can be determined. Such a numerical comparison of coordinate data reduces the computing resource requirements of graphical comparison technologies.

The application provides a liveness detection method capable of implementing liveness detection, and a liveness detection system that employs the liveness detection method. The liveness detection method comprises: irradiating an object to be detected with structured light; obtaining first facial image data of the object to be detected under irradiation of the structured light; determining, based on the first facial image data, a detection parameter that indicates a sub-surface scattering intensity of the structured light on a face of the object to be detected; and determining, based on the detection parameter and a predetermined parameter threshold, whether the object to be detected is a living body.

The invention relates to a flight time sensor (10) comprising:—a lighting device (11) comprising a light source (12) which emits a source beam (13) in the direction of a scene (3) comprising an object (4) which is capable of reflecting the source beam;—a detector (15) comprising a matrix (16) of photo-sensitive pixels (16A) which receive a portion (18) of the source beam reflected by the object; and—an electronic unit (19) which is configured:—to generate a modulation signal and to control the device by means of this signal so that the source beans has a source light power which is modulated temporally;—to process electric signals which are supplied as a function of time by the detector, each electric signal representing a fraction of the source light power reflected in the direction of a pixel; and—to deduce from the electric signals a characteristic distance (D.sub.obj) between the object and the device. According to the invention, the unit is configured, when the object is detected as being at a characteristic distance smaller than a predetermined threshold distance, to control the device in order to reduce the average source light power.