Abstract: An apparatus and a method to control manufacturing and feeding of semifinished products in a tyre building process, includes detecting at least one first image representative of a semifinished product; dividing the at least one first image into a plurality of first sub-parts, wherein each one of first sub-parts is composed of a plurality of first portions, each one associated with a respective brightness value; defining a first threshold for the brightness values; making a first comparison between the brightness values of the first portions and the first threshold; as a function of the first comparison, determining for each one of the first sub-parts a first operative parameter representative of a total area occupied in each first sub-part by the first portions associated with a brightness value smaller or greater than the first threshold; making a second comparison between each one of the first operative parameters and a second threshold; and causing the generation of a first notification signal as a functio

Abstract: Methods and systems for recognizing people in images with increased accuracy are disclosed. In particular, the methods and systems divide images into a plurality of clusters based on common characteristics of the images. The methods and systems also determine an image cluster to which an image with an unknown person instance most corresponds. One or more embodiments determine a probability that the unknown person instance is each known person instance in the image cluster using a trained cluster classifier of the image cluster. Optionally, the methods and systems determine context weights for each combination of an unknown person instance and each known person instance using a conditional random field algorithm based on a plurality of context cues associated with the unknown person instance and the known person instances. The methods and systems calculate a contextual probability based on the cluster-based probabilities and context weights to identify the unknown person instance.

Abstract: A method for registration of partially-overlapped images, comprises (a) performing noise reduction and feature extraction in a reference image and an unregistered image; (b) determining a template size using a phase transition methodology for a sufficiently-sampled finite data set; (c) identifying a template region in the reference image; (d) performing a wide angle estimation of the reference image and the unregistered image; (e) performing orientation and translation of the reference image and the unregistered image; (f) performing a search space reduction of the reference image and the unregistered image; (g) performing a coarse angle estimation of the reference image and the unregistered image; (h) performing orientation of the reference image and the unregistered image of the coarse angle estimation; and (i) performing a fine angle estimation and registration of the reference image and the unregistered image.

Abstract: In a method of generating a three dimensional representation of a human body shape from a depth image of a clothed human subject is disclosed.

Abstract: Some embodiments of the invention provide a novel method for training a multi-layer node network to reliably determine depth based on a plurality of input sources (e.g., cameras, microphones, etc.) that may be arranged with deviations from an ideal alignment or placement. Some embodiments train the multi-layer network using a set of inputs generated with random misalignments incorporated into the training set. In some embodiments, the training set includes (i) a synthetically generated training set based on a three-dimensional ground truth model as it would be sensed by a sensor array from different positions and with different deviations from ideal alignment and placement, and/or (ii) a training set generated by a set of actual sensor arrays augmented with an additional sensor (e.g., additional camera or time of flight measurement device such as lidar) to collect ground truth data.

Abstract: Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for object detection and representation in images. In one aspect, a method includes detecting occurrences of objects of a particular type in images captured within a first duration of time, and iteratively training an image embedding function to produce as output representations of features of the input images depicting occurrences of objects of the particular type, where similar representations of features are generated for images that depict the same instance of an object of a particular type captured within a specified duration of time, and dissimilar representations of features are generated for images that depict different instances of objects of the particular type.

Abstract: Techniques include systems, computerized methods, and computer readable media for choosing placement of three-dimensional (3D) probes used for evaluating a 3D alignment pose of a runtime 3D image inside a 3D alignment system for estimating the pose of a trained 3D model image in that 3D runtime image. A plurality of features associated with a first plurality of points of interest from a 3D image are generated, wherein each feature includes data indicative of 3D properties of an associated point from the plurality of points of interest. A second plurality of points of interest are selected from among the first plurality of points of interest, based at least in part on the plurality of features associated with the first plurality of points of interest. Placements of a plurality of 3D probes are determined based at least in part on the second plurality of points of interest.

Abstract: A method of extracting a region in a distance image including pixels, the method includes: for each of adjacent pixel pairs in the distance image, generating a third pixel group that includes a first pixel group to which a first pixel belongs and a second pixel group to which a second pixel belongs based on a difference between pixel values of the first pixel and the second pixel included in the adjacent pixel pair; dividing the distance image into regions by determining whether to generate a third region represented by the third pixel group by merging a first region represented by the first pixel group and a second region represented by the second pixel group, based on a positional relationship of points represented by pixels included in the third pixel group; and selecting a region that satisfies a predetermined condition from among the regions.

Abstract: The disclosure relates to an image recognition algorithm implemented by a hardware control system which operates directly on data from a compressed sensing camera. A computationally expensive image reconstruction step can be avoided, allowing faster operation and reducing the computing requirements of the system. The method may implement an algorithm that can operate at speeds comparable to an equivalent approach operating on a conventional camera's output. In addition, at high compression ratios, the algorithm can outperform approaches in which an image is first reconstructed and then classified.

Abstract: A method of detecting the boundary between the iris and the sclera, particularly, a method of detecting the boundary between the iris and the sclera from part of a captured image of a user's eye area, is provided. According to this method, the boundary between the iris and the sclera can be quickly and precisely detected, compared to when using an existing circular boundary detector.

Abstract: Image depth inference techniques and systems from semantic labels are described. In one or more implementations, a digital medium environment includes one or more computing devices to control a determination of depth within an image. Regions of the image are semantically labeled by the one or more computing devices. At least one of the semantically labeled regions is decomposed into a plurality of segments formed as planes generally perpendicular to a ground plane of the image. Depth of one or more of the plurality of segments is then inferred based on relationships of respective segments with respective locations of the ground plane of the image. A depth map is formed that describes depth for the at least one semantically labeled region based at least in part on the inferred depths for the one or more of the plurality of segments.

Abstract: Local color information in a 3D mesh is used to enhance fine geometric features such as those in embroidered clothes for 3D printing. In some implementations, vertex color information is used to detect edges and to enhance geometry. In one embodiment, a 3D model is projected into a 2D space to obtain a 2D image, so that pixels that lie on edges in the 2D image can be detected. Further, such edge information is propagated back to the 3D model to enhance the geometry of the 3D model. Other embodiments may be described and/or claimed.

Abstract: Authentication methods for recognition of a candidate person. During authentication, a previously stored enrollment image is presented on a display to a candidate person. The candidate person is instructed to present a reproduced image of the same scene and/or object to a camera while holding the camera (mobile camera for example) unsupported in free space with respect to the viewed scene or object. Alternatively the candidate person can hold the object unsupported in free space with respect the camera. Using the camera, a candidate image of the viewed scene or object is captured and presented with the previously stored enrollment image. The candidate person aligns the candidate image with the previously stored enrollment image. Upon alignment, the candidate image is verified as an authentic image of the user and the candidate person is authenticated as the user previously enrolled.

Abstract: A method and apparatus for authenticating a user using a vein pattern are provided that project a near infrared (NIR) ray toward a skin of the user using a light emitting diode (LED), where the user is adjacent to a terminal including the LED. An image sensor receives a light reflected by the skin, generates a vein pattern of the skin based on an image generated using the received light, and authenticates the user as a registered user of a pre-stored vein pattern when the generated vein pattern matches the pre-stored vein pattern.

Abstract: A method of training for image classification includes labelling a crop from an image including an object of interest. The crop may be labelled with an indication of whether the object of interest is framed, partially framed or not present in the crop. The method may also include assigning a fully framed class to the labelled crop, including the object of interest, if the object of interest is framed. A labelled crop may be assigned a partially framed class if the object of interest is partially framed. A background class may be assigned to a labelled crop if the object of interest is not present in the crop.

Abstract: The present disclosure relates to the field of biological recognition and provides a face recognition method and device and apparatus. The face recognition method includes: recording a face video image and dynamically tracking an eye in the face video image; detecting a blink frequency of the eye during dynamic tracking of the eye; judging whether the blinking frequency is within a preset frequency range; if the blink frequency is within the preset frequency range, determining that the face is a living face; if the blink frequency is not within the preset frequency range, determining that the face is a fake face. In the embodiment of the present disclosure, the real face and the fake face can be accurately distinguished by the blink frequency of the eye. Therefore, the safety of face recognition is improved.

Abstract: A user interface device and method for biometric information processing in a user interface device for biometric collection, quality checking, and matching are disclosed. Embodiments provide a user interface device for capturing biometric information (such as fingerprints) of a subject, determining the quality of the captured biometric information, and comparing the captured biometric information to stored biometric information for possible matches. Comparisons using high quality captured biometric information result in quicker and more accurate verification of identities.

Abstract: A method for determining a distortion of the image of an object formed by a reflection on a reflecting object includes capturing a reflected image of the reflecting object, determining, using the captured reflected image, a three-dimensional (3-D) shape of the surface of the reflecting object, calculating, based on the determined 3-D shape, distortion of the captured reflected image of the reflecting object from different viewing directions and using the calculated distortion from the different viewing directions, determining a three-dimensional (3-D) distortion of the surface of the reflecting object.

Abstract: An image processing method in which a feature amount is analyzed for each of a plurality of images as layout target candidates. First and second image evaluations are performed for an image of the plurality of images, in accordance with first and second (different) evaluation criteria. A main image to be laid out on a main slot in a template is selected from the plurality of images based on the first image evaluation for each of the plurality of images. A sub image is selected to be laid out on a sub slot in the template, which is smaller than the main slot, based on the second image evaluation for each of the plurality of images. The main image is laid out on the main slot in the template, and the sub image is laid out on the sub slot in the template.

Abstract: Provided herein is a control method of an electronic apparatus. The control method of an electronic apparatus includes: generating signal type information using an image data of a signal region portion of a signal lamp in a driving-related image data of a vehicle; and performing a driving-related guide of the vehicle using the generated signal type information.