Abstract: Techniques are provided for spatially adaptive tone mapping with dynamic brightness control. A methodology implementing the techniques according to an embodiment includes converting luminance data, from a received HDR image, to a logarithm domain and decomposing the converted data into a base layer, and one or more detail layers. The method also includes adjusting the layers, through shifting and scaling of the base layer and scaling of the detail layers, to map the amplitude data into a selected range. The method further includes converting the adjusted layers from the logarithm domain to a linear domain and calculating a tone compression parameter based on statistics of the adjusted log domain base layer. The statistics are associated with brightness of the received image. The method further includes applying a global tone compression function, based on the tone compression parameter, to the converted linear domain base layer to generate compressed linear domain layers.

Abstract: A method and device and a system are disclosed. The method may include: obtaining, by a measurement device, a first image that is obtained by photographing an antenna at a first position (101); mapping M characteristic points included in the first image into a first three-dimensional spatial coordinate system, to obtain M three-dimensional space points that are in the first three-dimensional spatial coordinate system and that have a mapping relationship with the M characteristic points (102), where a first mapping photographing direction is parallel to a direction of an axis in the first three-dimensional spatial coordinate system, and the first mapping photographing direction is obtained by mapping a photographing direction of photographing the first image into the first three-dimensional spatial coordinate system; and obtaining a downtilt of the antenna according to a first angle and/or obtaining an azimuth of the antenna according to a second angle (103).

Abstract: A method for evaluating color differences of pixels is provided. The method comprises obtaining color information of a first pixel in a color opponent space obtaining color information of a second pixel in the color opponent space, defining a half-line in the color opponent space based on the color information of the first pixel, and determining distance between color information of the second pixel and half-line in the color opponent space.

Abstract: A two-dimensional information code is provided. Inside the information code, specification Patten regions, a recording region, and an information addition region are arranged. In the specification pattern region, predetermined-shape specification patterns are arranged. Data expressed by a plurality of types of cells are recorded in the data recording region. Additional information, which is different from the data recorded in the data recording region, can be recorded in the information addition region.

Abstract: A method for sentencing a manufactured component as a pass or fail is described. The method involves zoning a two-dimensional image of the component, weighting individual zones according to their importance in the load bearing function and comparing overall weighted dimensions against those of a pre-defined compliant component design. By considering the internal and external dimensions and offsetting variations between zones, a more accurate assessment of compliance can be achieved. It is envisaged that components which might otherwise have been rejected and scrapped may be accepted resulting in material and cost savings.

Abstract: An image processing system and method for determining a set of surface normals of one or more objects for use in rendering the object(s) is described. One or more input images are received, each representing a view of the object(s). A depth image is received representing depth values of the object(s). Coarse surface normal estimates are determined based on depth values of the received depth image. The set of surface normals are determined by applying bilateral filtering to the coarse surface normal estimates. The bilateral filtering uses bilateral filtering guidance terms based on luminance values derived from the input image, wherein the determined set of surface normals are for use in rendering the object(s).

Abstract: A method and system for detecting occupancy in a space use computer vision techniques. In one embodiment an object is detected in an image of the space. If the object is detected in a first area of the image, a shape of the object is determined based on a first shape feature of the object and if the object is detected in a second area of the image, the shape of the object is determined based on a second shape feature of the object. The object may be determined to be an occupant based on the determined shape of the object.

Abstract: Hyper-hemispherical images may be combined to generate a rectangular projection of a spherical image having an equatorial stitch line along of a line of lowest distortion in the two images. First and second circular images are received representing respective hyper-hemispherical fields of view. A video processing device may project each circular image to a respective rectangular image by mapping an outer edge of the circular image to a first edge of the rectangular image and mapping a center point of the circular image to a second edge of the first rectangular image. The rectangular images may be stitched together along the edges corresponding to the outer edge of the original circular image.

Abstract: A method for processing data includes receiving a depth map of a scene containing at least a part of a body of a humanoid form. The depth map includes a matrix of pixels having respective pixel depth values. A digital processor extracts from the depth map a curvature map of the scene. The curvature map includes respective curvature values and curvature orientations of at least some of the pixels in the matrix. The depth map is segmented using the curvature values and curvature orientations in the curvature map so as to extract three-dimensional (3D) coordinates of one or more limbs of the humanoid form.

Abstract: An MRI system (100) acquires magnetic resonance data (158, 168) from a subject.

Abstract: The present application discloses an image coding/decoding method, device, and system, where an encoder performs singular vector decomposition on a prediction block corresponding to a to-be-coded image block, to obtain eigenvector matrices U and V of the prediction block; and performs coding processing on residual data according to the eigenvector matrices U and V of the prediction block, where the residual data is a difference between a pixel value of the to-be-coded image block and a pixel value of the corresponding prediction block. This can reduce identifier load of a coded bit stream.

Abstract: A biometrics authentication device is configured to include: a filter that extracts from an input image directional features that respectively correspond to directions different from each other; an perpendicular filter that, from among the directional features extracted from the filter, decreases a luminance value of the entirety of a directional feature that corresponds to a prescribed direction, increases a luminance value of the entirety of a directional feature that corresponds to a direction perpendicular to the directional feature that corresponds to the prescribed direction, and outputs other directional features with no change; a non-directional feature generation processing unit that generates a non-directional feature on the basis of the directional features output from the perpendicular filter; a matching processing unit that obtains a similarity between the non-directional feature and a registered non-directional feature stored in a storing unit; and a determining unit that determines identity by

Abstract: A biometrics authentication device is configured to include a non-directional feature generation process unit configured to generate a non-directional feature on the basis of a directional features; a directional feature generation process unit configured to select, from among the directional features, a reference directional feature corresponding to a reference direction; a non-directional feature matching process unit configured to obtain a first degree of similarity between the non-directional feature and a registered non-directional feature; a directional feature matching process unit configured to obtain a second degree of similarity between the reference directional feature and a registered reference directional feature; and a determination unit configured to make a weight of the second degree of similarity smaller than a weight of the first degree of similarity and to determine whether or not a subject is a person to be authenticated, by using the first degree of similarity and the second degree of sim

Abstract: A biometrics authentication device is configured so as to include: a filter that extracts a plurality of directional features from an input image; a per-direction directional feature normalization processing unit that normalizes the plurality of directional features extracted by the filter; a non-directional feature generating unit that generates a non-directional feature on the basis of the plurality of directional features output from the per-direction directional feature normalization processing unit; a matching processing unit that determines a degree of similarity between the non-directional feature and a registered non-directional feature stored in a storing unit; and a determining unit that determines identity by using the degree of similarity.

Abstract: An iterative matching method for partial fingerprint verification includes providing database features and input features; initially comparing the input features with the database features using one of the database features as a first reference point, resulting in initial matched feature pairs between initial matched database features and corresponding initial matched input features; and progressively comparing the input features with the database features using a gravity center of the initial matched database features as a second reference point, resulting in progressive matched feature pairs between progressive matched database features and corresponding progressive matched input features.

Abstract: Embodiments of the present disclosure disclose a method for performing Optical Character Recognition (OCR) of an article. The method comprises acquiring an image of the article. The image of the article is scanned using predetermined scan settings. Then, textual regions of the scanned image of the article are identified. The OCR of the at least one of the textual regions is performed using predetermined OCR settings. One or more textual regions of the textual regions are marked upon determining an error in performing the OCR of the one or more textual regions. The OCR of the one or more textual regions is iterated as per one or more predefined OCR scanning parameters based on an OCR quality of the one or more textual regions upon marking the one or more textual regions.

Abstract: An information processing apparatus includes a distance information acquisition unit configured to acquire distance information with respect to a measurement target object to determine interference between the object and a container for storing the object when the object is to be gripped, a derivation unit configured to derive a position and an orientation of the measurement target object based on the distance information and a partial model representing a partial shape of the measurement target object, and an interference determination unit configured, based on the position and the orientation derived by the derivation unit and a whole model representing a whole shape of the measurement target object, to determine whether interference has occurred between the measurement target object and the container for storing the measurement target object.

Abstract: A method and system for identifying books located on a bookshelf. Photographs of the bookshelf are captured and processed to identify individual books. Processing involves segmenting the photograph into individual book spines and extracting and analyzing features of the book spines. Analysis may include database matching and/or optical character recognition. Book spines for which a match is not found are human labeled, and the label information is added to the database. User feedback is also used to update the database.

Abstract: Disclosed is a checking device that is intended to check the authenticity of a fingerprint of a finger and which includes, among other things, a capture system for capturing an image of the finger and of the fingerprint, and acquisition means for acquiring a three-dimensional model of the finger. The checking device also includes means for determining the core on the image of the fingerprint, for locating the crown of the three-dimensional model, for determining the orientation and position of the end of the finger and for determining the relative positions of the end, the crown and the core. From these elements, the checking device can decide whether the fingerprint is real or false.

Abstract: Provided content is determined to contain an asset represented by reference content by comparing digital fingerprints of the provided content and the reference content. The fingerprints of the reference content and the provided content are generated using a convolutional neural network (CNN). The CNN is trained using a plurality of frame triplets including an anchor frame representing the reference content, a positive frame which is a transformation of the anchor frame, and a negative frame representing content that is not the reference content. The provided content is determined to contain the asset represented by the reference content based on a similarity measure between the generated fingerprints. If the provided content is determined to contain the asset represented by the reference content, a policy associated with the asset is enforced on the provided content.