Abstract: An object is to construct an accurate correspondence relation between points included in 3D data and pixels that form an image. An alignment unit receives image data acquired by capturing an image of an object, and 3D data of the object, performs alignment between the image data and the 3D data, and outputs data after the alignment. A pixel selection unit selects a target pixel from a plurality of pixels included in the image data. The pixel point association unit selects, from a plurality of point data items of 3D data included in the data after the alignment, three or more point data items near the target pixel as neighboring point data, estimates one surface based on the neighboring point data, and performs association for calculating a position of the target pixel on the one surface in a space which the plurality of point data items belong to.

Abstract: A target object detection apparatus (20) includes an acquisition unit (210), a likelihood information generation unit (220), and a determination unit (230). The acquisition unit (210) acquires an IF signal from an irradiation apparatus (10) at a plurality of timings. The likelihood information generation unit (220) executes, by processing the IF signal, processing of generating, with respect to each of a plurality of IF signals, likelihood information for a region (hereinafter, referred to as a target object region) having a possibility in that an accompaniment, i.e., a target object is present. The likelihood information indicates a distribution of presence probabilities of a target object in at least a height direction in a target object region. Then, the determination unit (230) determines a presence or absence of a target object, by using likelihood information generated for each of a plurality of target object regions.

Abstract: A data processing apparatus (100) includes a target object position determination unit (103) that determines, based on a picture image acquired by a first camera, a position of a target object in the picture image, a target object depth distance extraction unit (104) that extracts the depth distance from the first camera to the target object, a coordinate transformation unit (105) that transforms the position of the target object in the picture image into a position of the target object in a world coordinate system by using the depth distance, and a label transformation unit (106) that transforms, by using a position of the first camera in the world coordinate system and imaging information used when an image is generated from a measurement result of a sensor, the position of the target object in the world coordinate system into a label of the target object in the image.

Abstract: A peak label object detection system (PLODS) includes an object size database configured to store information related to object size for a plurality of objects. The PLODS further includes a three-dimensional (3D) sensor database configured to store information related to parameters of a 3D sensor. The PLODS further includes an annotation database configured to store ground truth annotation information for images. The PLODS further includes a peak shape parameter calculator configured to determine a peak label size based on object size from the object size database and the parameters of the 3D sensor. The PLODS further includes a label generator configured to generate a peak labels map based on label size and the ground truth annotation information.

Abstract: The present invention provides a processing system (10) including: an electromagnetic wave reception unit (11) that receives an electromagnetic wave from a target person passing through a predetermined region; a determination unit (12) that determines, based on a signal of the received electromagnetic wave, whether the target person carries a previously-specified object; a route decision unit (13) that decides, based on a result of the determination, an inspection route where the target person proceeds from among a plurality of the previously-determined inspection routes; and a guidance unit (14) that executes guidance processing of guiding the target person to the decided inspection route.

Abstract: A receiver receives a radio wave transmitted to a target and scattered by the target to acquire a signal. An imaging unit generates a 3D complex image of the target based on the signal. A value extraction unit extracts intensity information and phase in including an intensity matrix and a phase matrix, the extracted intensity information constituting the intensity matrix and the extracted phases information constituting the phase matrix. A subset selection unit selects a subset from the value set. A transformation unit changes a representation of the subset to generate a 2D real image. A detection unit detects whether there is an undesired object on the target based on the 2D real image.

Abstract: A image processing apparatus (20) includes at least an acquisition unit (210), a processing unit (220), and an image generation unit (230). The acquisition unit (210) acquires an intermediate frequency signal from an irradiation apparatus (10). The processing unit (220) generates three-dimensional positional information about a subject by processing the intermediate frequency signal. The image generation unit (230) generates at least a first two-dimensional image and a second two-dimensional image, and displays the two-dimensional images on a display apparatus (30). The first two-dimensional image is, for example, an image when viewed from a direction in which the subject moves, and the second two-dimensional image is, for example, an image when viewed from an opposite direction.

Abstract: Systems and methods are provided for identifying a product in an image and outputting stock keeping units of the product. The system comprises three main components: a database server, a data analytics system and a standard dashboard. The database server contains real-time inventory images as well as historical images of each product type. The data analytics system is executed by a computer processor configured to apply object detection and classification and deep learning algorithms to detect product information captured by the image. The data analytics system is also configured to determine hierarchical classification categories for the product. The standard dashboard is configured to output a report regarding the product information.

Abstract: Systems and methods are provided for identifying a product in an image and outputting stock keeping units of the product. The system comprises three main components: a database server, a data analytics system and a standard dashboard. The database server contains real-time inventory images as well as historical images of each product type. The data analytics system is executed by a computer processor configured to apply object detection and classification and deep learning algorithms to detect product information captured by the image. The data analytics system is also configured to determine hierarchical classification categories for the product. The standard dashboard is configured to output a report regarding the product information.

Abstract: Treatment of leishmaniasis in animals and humans using the methanolic extract of Physalis minima in petrolatum is described.