A non-transitory computer readable medium stores a program that causes a computer to execute a position conversion process. The process includes storing actual layout information and virtual layout information, the actual layout information defining a layout of a first subject within an actual structure, the virtual layout information defining a layout of a second subject within a virtual structure; acquiring a human position within the actual structure; and converting the human position in the actual layout information into the human position in the virtual layout information.

A page orientation component of an image processing device receives an image of a document, transforms the image to a binarized image by performing a binarization operation on the image, and identifies a portion of the binarized image that comprises one or more rows of textual content. The page orientation component identifies a plurality of horizontal runs of white pixels and a plurality of vertical runs of white pixels in the one or more rows of textual content in the portion of the binarized image. The page orientation component generates a first histogram for the plurality of horizontal runs of white pixels, and a second histogram for the plurality of vertical runs of white pixels, and determines an orientation of the one or more rows of textual content in the image based on the first histogram and the second histogram.

An appearance inspection apparatus includes an imaging unit, a reconstructed image generation unit, and an image comparison unit. The imaging unit images an object. The reconstructed image generation unit generates a reconstructed image by using a model, the reconstructed image being an image to be obtained by reconstruction of an input image, image data on the object imaged by the imaging unit being used as the input image, the model being used for attempting to reproduce the image data. The image comparison unit generates a difference image corresponding to a difference between the input image and the reconstructed image.

Embodiments of the disclosure provide an angiography image determination method and an angiography image determination device. The method includes: obtaining a plurality of first images of a body part injected with a contrast medium; obtaining a plurality of corresponding second images by performing a first image preprocessing operation on each first image; obtaining a pixel statistical characteristic of each second image; finding a candidate image based on the pixel statistical characteristic of each second image; and finding a reference image corresponding to the candidate image among the plurality of first images.

A learning apparatus trains an estimator that executes a recognition task. The learning apparatus comprises: an obtaining unit configured to obtain a plurality of training data items including input data and supervisory data corresponding to the input data; a calculating unit configured to calculate statistic information relating to a predetermined perspective in the plurality of training data items; a determining unit configured to determine a degree of importance of each training data item included in the plurality of training data items based on the statistic information; and a control unit configured to control training of the estimator based on the degree of importance. The determining unit determines the degree of importance of each training data item such that unevenness of the plurality of training data items with respect to the predetermined perspective is reduced.

A license plate identification method is provided, including the following steps of: obtaining a to-be-processed image; obtaining a plurality of feature maps including target features through a feature map extraction module; obtaining at least one region including the target feature in each feature map and giving each frame of each feature map scores corresponding to the target features through a target location extraction module; classifying each frame in each feature map according to the scores through a target candidate classification module and retaining at least one region that corresponds to character features; and obtaining a license plate identification result according to the region that corresponds to the character feature through a voting/statistics module.

An apparatus, system and method for regulating fluid flow are disclosed. The apparatus includes a flow rate sensor and a valve. The flow rate sensor uses images to estimate flow through a drip chamber and then controls the valve based on the estimated flow rate. The valve comprises a rigid housing disposed around the tube in which fluid flow is being controlled. Increasing the pressure in the housing controls the size of the lumen within the tube by deforming the tube, therefore controlling flow through the tube.

A facility use measuring device includes a processor and a memory storing instructions. The processor is configured to set a plurality of staying areas for determining the presence or absence of stay of users on images, to generate stay information relating to the presence or absence of stay of the users for each of the staying areas based on a change situation, to compare pieces of stay information for every at least two staying areas and determine a group configuration regarding the users who respectively stay in the staying areas based on similarity of the pieces of stay information, to generate use information relating a use situation of a facility according to the group configuration, based on the pieces of stay information for each of the staying areas and a determination result of the group configuration, and to generate display information displaying the use information and output the display information.

An object tracking method and apparatus are provided. The object tracking method includes detecting a target object in a first-type input image that is based on light in a first wavelength band, tracking the target object in the first-type input image based on detection information of the target object, measuring a reliability of the first-type input image by comparing the first-type image to an image in a database, comparing the reliability of the first-type input image to a threshold, and tracking the target object in a second-type input image that is based on light in a second wavelength band.

Techniques for interactively determining/visualizing the color content of a source image and how the corresponding image data is mapped to device colors are described herein. For example, the color content of a digital image can be converted between different color spaces to identify gamut limitations of an output device (e.g., a printing assembly), discover color(s) that cannot be accurately reproduced, etc. Color space conversions enable the transformation of the color content of the digital image from device-specific colorants to a device-independent representation (and vice versa). In some embodiments, these transformations are facilitated using lookup tables that are implemented in graphical processing unit-resident memory.