Abstract: A fingerprint recognition device and method thereof are provided. The fingerprint recognition method includes: obtaining a plurality of swiping frames; generating a plurality of registered fingerprint datasets according to the swiping frames; obtaining a pressing fingerprint dataset; and comparing the pressing fingerprint dataset with the registered fingerprint datasets.

Abstract: An apparatus for parameterizing a plant includes a recorder for recording a three-dimensional data set of the plant including not only volume elements of non-covered elements of the plant, but also volume elements of elements of the plants that are covered by other elements, and a parameterizer for parameterizing the three-dimensional data set for obtaining plant parameters.

Abstract: A volume visualization, i.e volume rendering, system comprising a feature detector for detecting a feature like a border between body and air (e.g. skin) in an image volume dataset. A distance computing subsystem is arranged for computing a distance from the feature, e.g. a border, a boundary or skin to an image element of the image volume dataset. A weighting subsystem is arranged for weighting an image element value of the image element, based on the distance, to obtain a weighted image element value. A view generator is arranged for generating a view of the image volume dataset, based on the weighted image element value, wherein a view element value of the view is based on the weighted image element value. The view comprises a two-dimensional image view, and the view element value comprises a pixel value.

Abstract: A novel disparity computation technique is presented which comprises multiple orthogonal disparity maps, generated from approximately orthogonal decomposition feature spaces, collaboratively generating a composite disparity map. Using an approximately orthogonal feature set extracted from such feature spaces produces an approximately orthogonal set of disparity maps that can be composited together to produce a final disparity map. Various methods for dimensioning scenes and are presented. One approach extracts the top and bottom vertices of a cuboid, along with the set of lines, whose intersections define such points. It then defines a unique box from these two intersections as well as the associated lines. Orthographic projection is then attempted, to recenter the box perspective. This is followed by the extraction of the three-dimensional information that is associated with the box, and finally, the dimensions of the box are computed. The same concepts can apply to hallways, rooms, and any other object.

Abstract: For an identification of packing units, data resulting from an optical recording of at least one surface of a packing unit undergo a text recognition to recognize individual characters. A plurality of characteristic values is determined, each characteristic value being based on another predetermined statistical analysis of the recognized characters. The plurality of characteristic values forms at least one part of an identification of the packing unit. The characteristic values are provided for storage and/or for comparison with previously stored characteristic values.

Abstract: In one embodiment, a method determines known features for existing face tracks that have identity labels and builds a database using these features. The face tracks may have multiple different views of a face. Multiple features from the multiple faces may be taken to build the face models. For an unlabeled face track without identity information, the method determines its sampled features and finds labeled nearest neighbor features with respect to multiple feature spaces from the face models. For each face in the unlabeled face track, the method decomposes the face as a linear combination of its neighbors from the known features from the face models. Then, the method determines weights for the known features to weight the coefficients of the known features. Particular embodiments use a non-linear weighting function to learn the weights that provides more accurate labels.

Abstract: A method of identifying, with a camera, an object in an image of a scene, by determining the distinctiveness of each of a number of attributes of an object of interest, independent of the camera viewpoint, determining the detectability of each of the attributes based on the relative orientation of a candidate object in the image of the scene, determining a camera setting for viewing the candidate object based on the distinctiveness of an attribute, so as to increase the detectability of the attribute, and capturing an image of the candidate object with the camera setting to determine the confidence that the candidate object is the object of interest.

Abstract: An event monitoring apparatus comprises a setting command input unit, an event rule generator, an image receiver, an object-of-interest tracker, an event determiner, and an event detection information generator.

Abstract: An embodiment includes an ultrasonic sensor system comprising: a backend material stack including a first metal layer between a substrate and a second metal layer with each of the first and second metal layers including a dielectric material; a ultrasonic sensor including a chamber, having a negative air pressure, that is sealed by first and second electrodes coupled to each other with first and second sidewalls; an interconnect, not included in the sensor, in the second metal layer; wherein (a) a first vertical axis intersects the substrate, the chamber, and the first and second electrodes, (b) a second vertical axis intersects the interconnect and the substrate, (c) a first horizontal axis intersects the chamber, the interconnect, and the first and second sidewalls, and (d) the first and second electrodes and the first and second sidewalls each include copper and each are included in the second metal layer.

Abstract: A method including accessing image data representing tissue and identifying one or more features of the tissue indicated by the image data. A model is selected for the tissue based on the one or more identified features. The image data is segmented and, using the model, one or more anatomical landmarks of the tissue indicated by the segmented image data are identified.

Abstract: The present invention relates to the technical field of image processing, and in particular, to a patch net model for image representation and a construction method of the patch net model. The patch net model for image representation is of a forest-shaped structure consisting of a plurality of composite nodes and basic nodes, each composite node is a non-leaf node, and each basic node is a leaf node; the basic node includes a certain patch region of an image and a representative patch representing an apparent feature of the patch region; the composite node includes a certain patch region of the image and can be further decomposed into basic nodes and/or composite nodes; an edge exists between two nodes, which are located on the same layer of the forest-shaped structure and are spatially connected, and a relation matrix used for expressing the spatial relative position of the two nodes is arranged on the edge.

Abstract: Various systems and methods for tracking and analyzing emotional engagement of people while shopping are described herein. A system for tracking and analyzing emotional engagement of people while shopping includes an image processing module to: access image data from an electronic data storage, the image data including a person in a retail environment; and detect the person in the image data; an emotion detection module to determine an emotion expressed by the person; an object detection module to determine an object with which the person is interacting; and a marketing module to: select a sales action based on the emotion and the object; and execute the sales action.

Abstract: Disclosed are an apparatus for sensing a moving golf ball and a method for sensing the moving golf ball using the apparatus. The apparatus includes an image acquisition unit for acquiring consecutive images of a ball, an image processing unit for extracting a feature portion of the ball from the acquired images, and a spin calculation unit for performing any one of forward operation analysis and inverse operation analysis to calculate spin of the ball.

Abstract: An image coding method for dividing an input image into a plurality of divisional blocks having different sizes, and coding the image for each of the divisional blocks includes acquiring attribute information of a target block, setting a control parameter for controlling an image quality of the target block, determining a prediction control parameter based on the attribute information, calculating a difference value between the control parameter and the prediction control parameter, and coding the calculated difference value.

Abstract: A method for tracking a gaze includes determining a position of a first center point of a cornea by using at least two lighting reflection points detected from an eyeball area of a first face image of a user and calculating a first vector connecting at least two first image feature points detected from the first face image to the position of the first center point of the cornea. A position of a second center point of the cornea is determined using the first vector and a position of the feature point detected from the second face image. A second vector is determined using the position of the second center point of the cornea and a position of a center point of a pupil. The gaze of the user is tracked by using the second vector. An apparatus for tracking a gaze is also disclosed.

Abstract: The present disclosure applies to the field of biometric identification technologies and provides a method and an apparatus for fingerprint identification. The method includes: extracting a minutia of the input fingerprint image by using a statistical method; performing fingerprint matching according to the extracted minutia to obtain a fingerprint identification result. According to the method provides in embodiments of the present disclosure, the direction of the minutia is calculated by using statistical information, a descriptor with statistical significance is added for the minutia, and during the matching process, calculation of the similarity of the minutia by using the descriptor and region matching by using information of the direction field and the gradient field of the overlapping region are added, therefore, instability and weak specificity of expression of fingerprint characteristics in a conventional algorithm are avoided, and accuracy of the fingerprint identification is improved.

Abstract: This disclosure describes systems and methods for automatically verifying stored item dimension values and package utilization at packing. In some implementations, an image(s) of a package that includes items of a shipment set is captured at a pack station and analyzed to determine an actual package utilization. The actual package utilization is compared to an expected package utilization. If a difference between the expected package utilization and the actual package utilization is identified, it may be determined that the stored item dimension values may be inaccurate.

Abstract: Providing an equipment manufacture supporting technique in which a plurality of departments that cooperate with one another can unify management of components constituting equipment.

Abstract: The purpose of the present invention is to easily extract, from samples to be observed, defect candidates that can be labeled as a defect or “nuisance” (a part for which a manufacturing tolerance or the like is erroneously detected) and to allow parameters pertaining to observation processing to be easily adjusted. This defect observation method comprises: an imaging step to image, on the basis of defect information from an inspection device, an object to be inspected and obtain a defect image and a reference image corresponding to the defect image; a parameter determining step to determine a first parameter to be used in the defect extraction by using a first feature set distribution acquired from the reference image and the defect image captured in the imaging step and a second feature net distribution acquired from the reference image; and an observing step to observe using the first parameter determined in the parameter determining step.

Abstract: This disclosure provides techniques for assessing quality of a deposited film layer of an organic light emitting diode (“OLED”) device. An image is captured and filtered to identify a deposited layer that is to be analyzed. Image data representing this layer can be optionally converted to brightness (grayscale) data. A gradient function is then applied to emphasize discontinuities in the deposited layer. Discontinuities are then compared to one or more thresholds and used to ascertain quality of the deposited layer, with optional remedial measures then being applied. The disclosed techniques can be applied in situ, to quickly identify potential defects such as delamination before ensuing manufacturing steps are applied. In optional embodiments, remedial measures can be taken dependent on whether defects are determined to exist.