A projector for illuminating a target area is presented. The projector includes an array of emitters positioned on a substrate according to a distribution. Each emitter in the array of emitters has a non-circular emission area. Operation of at least a portion of the array of emitters is controlled based in part on emission instructions to emit light. The light from the projector is configured to illuminate the target area. The projector can be part of a depth camera assembly for depth sensing of a local area, or part of an eye tracker for determining a gaze direction for an eye.

Embodiments allow live action images from an image capture device to be composited with computer generated images in real-time or near real-time. The two types of images (live action and computer generated) are composited accurately by using a depth map. In an embodiment, the depth map includes a “depth value” for each pixel in the live action image. In an embodiment, steps of one or more of feature extraction, matching, filtering or refinement can be implemented, at least in part, with an artificial intelligence (AI) computing approach using a deep neural network with training. A combination of computer-generated (“synthetic”) and live-action (“recorded”) training data is created and used to train the network so that it can improve the accuracy or usefulness of a depth map so that compositing can be improved.

The present invention provides an auxiliary berthing method and system for a vessel. In the berthing method, by a solar blind ultraviolet imaging method, a position and an attitude of a vessel relative to a shoreline of a port berth during berthing are calculated by at least two solar blind ultraviolet imaging modules according to light signals received by a solar blind ultraviolet light source array arranged in advance on the shore. Further, when more than three solar blind ultraviolet imaging modules are used, in the method and device of the present invention, a normalized correlation algorithm and a data fusion algorithm are used to improve the accuracy of the position and attitude data of the vessel.

Systems and methods use cameras to provide autonomous navigation features. In one implementation, a method for navigating a user vehicle may include acquiring, using at least one image capture device, a plurality of images of an area in a vicinity of the user vehicle; determining from the plurality of images a first lane constraint on a first side of the user vehicle and a second lane constraint on a second side of the user vehicle opposite to the first side of the user vehicle; enabling the user vehicle to pass a target vehicle if the target vehicle is determined to be in a lane different from the lane in which the user vehicle is traveling; and causing the user vehicle to abort the pass before completion of the pass, if the target vehicle is determined to be entering the lane in which the user vehicle is traveling.

A method performed by an electronic device is described. The method includes generating a depth map of a scene external to a vehicle. The method also includes performing first processing in a first direction of a depth map to determine a first non-obstacle estimation of the scene. The method also includes performing second processing in a second direction of the depth map to determine a second non-obstacle estimation of the scene. The method further includes combining the first non-obstacle estimation and the second non-obstacle estimation to determine a non-obstacle map of the scene. The combining includes combining comprises selectively using a first reliability map of the first processing and/or a second reliability map of the second processing The method additionally includes navigating the vehicle using the non-obstacle map.

Provided are a product purchase support system (100), a product purchase support device (10), and a POS terminal device (20) that improve the efficiency of checkout processing for product sales and enhance the convenience of customers when purchasing a product. The product purchase support system (100) according to the present invention includes the product purchase support device (10) including a depth camera (12) and a first display device (13), and a POS terminal device (20) that performs checkout processing for a product. When the product purchase support device (10) detects a product selection motion of selecting a product by a customer, it identifies a product selected by the customer and generates product information related to this product, and displays the product information on the first display device (13). Further, the product purchase support device (10) outputs the product information to the POS terminal device (20).

The distance image acquisition apparatus (10) includes a projection unit (12) which projects a first pattern of structured light distributed in a two-dimensional manner with respect to a subject within a distance measurement region, a light modulation unit (22) which spatially modulates the first pattern projected from the projection unit (12), an imaging unit (14) which is provided in parallel with and apart from the projection unit (12) by a baseline length, and captures an image including the first pattern reflected from the subject within the distance measurement region, a pattern extraction unit (20A) which extracts the first pattern spatially modulated by the light modulation unit (22) from the image captured by the imaging unit (14), and a distance image acquisition unit (20B) which acquires a distance image indicating a distance of the subject within the distance measurement region based on the first pattern.

An information processing apparatus includes an imaging apparatus that irradiates reference light in a predetermined wavelength band to a subject and captures reflection of the reference light from the subject to acquire data of captured images including a polarized image in multiple bearings (S30). Based on the polarized image, the imaging apparatus acquires a polarization degree image representing a distribution of polarization degrees (S32). The imaging apparatus extracts a region whose polarization degree falls within a predetermined range of polarization degrees as an image of the subject having a predetermined material (S34). The imaging apparatus performs relevant processing on the subject image to generate output data and outputs the generated data (S36).

Systems and methods for image registration using data collected by an electronic device, such as a mobile device, capable of simultaneous localization and mapping are provided. An electronic device, such as a mobile device, can be can be configured to collect data using a variety of sensors as the device is carried or transported through a space. The collected data can be processed and analyzed to generate a three-dimensional representation of the space and objects in the space in near real time as the device is carried through the space. The data can be used for a variety of purposes, including registering imagery for localization and image processing.

Various embodiments of the present technology generally relate to unmanned aerial vehicle (UAV) scale rendered analysis, orthomosaic, and 3D mapping and landing platform systems. More specifically, some embodiments relate to systems, methods, and means for the collection and processing of images captured during a UAV flight sequence. In some embodiments, the UAV landing platform retrieves flight information and initial map information over a unidirectional virtual private network from a multitenant cloud-based scheduling application. The UAV landing platform sends the initial map information to a UAV over a WiFi, Bluetooth, or radio frequency network and initiates a drone flight sequence once the drone flight sequence has been approved by a local user. The UAV landing platform receives property image data from a UAV after a UAV flight sequence has ended and transmits the received property image data back to the cloud application.