A system and method for a master platform includes receiving first pose data associated with an image sensor of a first device, and a first semantic map generated by the first device, the first semantic map including a simplified object representation in a coordinate space of the first device. The master platform also receives second pose data associated with an image sensor of a second device, and a second semantic map generated by the second device, the second semantic map including a simplified object representation in a coordinate space of the second device. A shared simplified object representation common to the first and semantic maps is identified. The master platform further combines the first semantic and second semantic maps based on the first and second pose data. The first pose data, first semantic map, second pose data, and second semantic map are associated with a common time interval.

Apparatus and methods for extraction and calculation of multi-person performance metrics in a three-dimensional space. An example apparatus includes a detector to identify a first subject in a first image captured by a first image capture device based on a first set of two-dimensional kinematic keypoints in the first image, the two-dimensional kinematic keypoints corresponding to a joint of the first subject, the first image capture device associated with a first view of the first subject, a multi-view associator to verify the first subject using the first image and a second image captured by a second image capture device, the second image capture device associated with a second view of the first subject, the second view different than the first view, and a keypoint generator to generate three-dimensional keypoints for the first subject using the first set of two-dimensional kinematic keypoints.

This disclosure relates to systems and methods of obtaining accurate motion and orientation estimates for a vehicle traveling at high speed based on images of a road surface. A purpose of these systems and methods is to provide a supplementary or alternative means of locating a vehicle on a map, particularly in cases where other locationing approaches (e.g., GPS) are unreliable or unavailable.

An electronic device for widening an active area of a display is provided. The electronic device includes a housing including a first plate and a second plate facing away from the first plate, a touch screen display including a first glass plate, a second glass plate, and an organic light-emitting diode (OLED) layer interposed between the first plate and the second plate, a flexible layer including a first portion connected to the first surface of the second glass plate and bent around an edge of the second glass plate toward the second plate of the housing, and a second portion extending from the first portion and interposed between the second glass plate and the second plate of the housing, a display driver integrated circuit (DDIC) mounted on a first surface of the second portion of the flexible layer, and a printed circuit board (PCB) including a portion mounted on a second surface of the second portion of the flexible layer.

An optical fingerprint sensing device and an operation method thereof are provided. The optical fingerprint sensing device includes an optical fingerprint sensing circuit and a control circuit. The control circuit is coupled to the optical fingerprint sensing circuit. The control circuit is configured to dynamically adjust at least one operation parameter of the optical fingerprint sensing circuit in accordance with environment information. The optical fingerprint sensing circuit is configured to capture a fingerprint image according to the at least one operation parameter.

Systems and methods for controlling performance of a digital character depicted at a display device are disclosed. According to at least one embodiment, a method for controlling performance of a digital character depicted at a display device includes: determining a presence of a person located in a physical environment; and in response to determining the presence of the person, facilitating control of the performance of the digital character depicted at the display device by a human operator, by an artificial intelligence (AI) game-engine, or by a combination thereof.

A system and method for estimating dimensions of an approximately cuboidal object from a 3D image of the object acquired by an image sensor of the vision system processor is provided. An identification module, associated with the vision system processor, automatically identifies a 3D region in the 3D image that contains the cuboidal object. A selection module, associated with the vision system processor, automatically selects 3D image data from the 3D image that corresponds to approximate faces or boundaries of the cuboidal object. An analysis module statistically analyzes, and generates statistics for, the selected 3D image data that correspond to approximate cuboidal object faces or boundaries. A refinement module chooses statistics that correspond to improved cuboidal dimensions from among cuboidal object length, width and height. The improved cuboidal dimensions are provided as dimensions for the object. A user interface displays a plurality of interface screens for setup and runtime operation.

An image sensor includes a first sensor pixel and a second sensor pixel that vertically overlap each other. The first sensor pixel includes a first signal generation circuit, and a first photoelectric converter that is connected to the first signal generation circuit and configured to generate first information from light having a first wavelength. The second sensor pixel includes a second signal generation circuit, and a second photoelectric converter that is connected to the second signal generation circuit and configured to generate second information from light having a second wavelength. A first horizontal surface area of the first photoelectric converter is different from a second horizontal surface area of the second photoelectric converter. An image sensor module includes the image sensor, a light source configured to emit light to a target object, and a dual band pass filter configured to selectively pass light reflected from the target object.

A volume holographic film (such as a photopolymer) that is pre-recorded with patterns subsequently is used to encode LED or low-power laser light reflections from an eye into a binary pattern that can be read at very high speeds by a relatively simple complementary metal-oxide-semiconductor (CMOS) sensor that may be similar to a high framerate, low resolution mouse sensor. The low-resolution mono images from the film are translated into eye poses using, for instance, a look up table that correlates binary patterns to X, Y positions or using a pre-trained convolutional neural network to robustly interpret many variations of the binary patterns for conversion to X, Y positions.

Disclosed are various embodiments for optimizing cubic utilization when loading packages into a loading space. A current loading configuration of the loading space can be determined according to image data obtained by 3D sensors. Package data (e.g., volume, mass, type, dimensions, etc.) can be determined for incoming packages to be loaded into the package data. The current loading configuration and the package data are used to determine a package sequence and optimal placement location for the next package to be loaded such that a cubic efficiency of the loading space is maximized and amount of air gaps between packages is minimized.