Abstract: A method, system and a computer program product for evaluating contact elements, the method includes: acquiring images of multiple groups of contact elements, wherein each group of contact element was expected to be contacted during a test by the same group of probes so as to form multiple probe marks; and evaluating at least one characteristic of a first contact element in response to a comparison between a number of potential probe marks that appear in the image of a first contact element and a number of potential probe marks that appear in an image of a second contact element.

Abstract: Provided is a process and system for detection of sparse or otherwise weak targets in a hyperspectral image. The method includes receiving a hyperspectral image having a plurality of pixels, with each pixel having a respective spectrum. Multiple mean spectra are selectively determined for respective sub-regions of the hyperspectral image. The subset mean spectra are selectively removed from respective pixels, thereby improving image fidelity due to sensor artifacts. Additionally, target detection of such an adjusted image can be determined by one or more of matched filter techniques or by partial un-mixing. In some embodiments target detection is enhanced by combining a measure of target match with a measure of un-match. Target detection can be further improved by application of rules, for example, related to target detection threshold.

Abstract: A system and a method are provided for determining an estimated age of an individual of interest based on images in an image collection. An example system includes a memory for storing computer executable instructions, and a processing unit for accessing the memory and executing the computer executable instructions. The computer executable instructions include an age class estimator to classify a plurality of images of the individual into age classes, each age class corresponding to an interval of age, and each image having a known time stamp, a probability determination engine to determine, for each age class, a value of class probability that an image in the collection falls within the age class, an age determination engine to determine a transition time based on the values of class probability and the known time stamp, and to determine the estimated age of the individual based on the determined transition time.

Abstract: A device may receive a request to authenticate a user, automatically establish a multimedia session with the user in response to receiving the request, and capture a group of biometric identifiers for the user from the multimedia session. The device may further perform a group of biometric authentication operations using the analyzed or captured biometric identifiers to obtain a group of authentication scores, determine whether the user is properly authenticated based on the group of authentication scores, and transmit a message representing the determination of whether the user is properly authenticated.

Abstract: Techniques are described to employ image recognition techniques to content. In an implementation, one or more images are identified in content using a signature derived from the one or more images. Metadata associated with the content is then supplemented based on the identified one or more images.

Abstract: Described are methods and apparatuses, including computer program products, for determining model uniqueness with a quality metric of a model of an object in a machine vision application. Determining uniqueness involves receiving a training image, generating a model of an object based on the training image, generating a modified training image based on the training image, determining a set of poses that represent possible instances of the model in the modified training image, and computing a quality metric of the model based on an evaluation of the set of poses with respect to the modified training image.

Abstract: Described are methods and apparatuses, including computer program products, for determining model uniqueness with a quality metric of a model of an object in a machine vision application. Determining uniqueness involves receiving a training image and a first set of model parameters, generating a first model of an object, generating a second model of the object based on the training image and a second set of model parameters modified from the first set of model parameters, determining a set of poses that represent possible instances of the second model in the training image, and computing a quality metric of the first model based on an evaluation of the set of poses with respect to the training image.

Abstract: A method for measuring bi-directional similarity between a first signal of a first size and a second signal of a second size includes matching at least some patches of the first signal with patches of the second signal for data completeness, matching at least some patches of the second signal with patches of the first signal for data coherence, calculating the bi-directional similarity measure as a function of the matched patches for coherence and the matched patches for completeness and indicating the similarity between the first signal and the second signal. Another method generates a second signal from a first signal where the second signal is different than the first signal by at least one parameter. The method includes attempting to maximize a bi-directional similarity measure between the second signal and the first signal.

Abstract: Systems and methods for use with a mark reader that reduce the trigger-to-decode response time by prioritizing images to be decoded based on the likelihood of a successful decode are provided. A reader attempts to decode a priority image(s) first to avoid attempting to decode images that are less likely than other images to be successfully decoded. Images are rated based on feature attributes, and then prioritized for decoding. Image feature attributes are correlated with parameter groups, and the parameter groups are prioritized for use in subsequent image acquisitions.

Abstract: A method for registering multiple 3D point sets by determining optimal relative positions and orientations of the 3D point sets. Initial values are determined for the rotation matrices corresponding to the relative orientations of reference frames of the 3D point sets. A registration error cost function is optimized on a product manifold of all of the rotation matrices to determine optimal values of the rotation matrices. The optimal values of the rotation matrices are used to determine optimal values for translation vectors corresponding to the relative positions of the reference frames of the 3D point sets. The 3D point sets are registered on a common reference frame using the optimal rotation matrices and the optimal translation vectors.

Abstract: A device for forming a random set of playing cards comprises a card in-feed area, a shuffling system, a card removal area, and a card reading system located within the device, the card reading system employing a complementary metal-oxide semiconductor (CMOS) sensor and a hardware component, the hardware component capable of converting signals from the CMOS sensor into vector sets and comparing the vector sets to known vectors to determine rank and suit.

Abstract: A system and method for sorting pictures stored in an electronic device receives sorting features of the pictures and a sorting priority sequence of the sorting features set by a user. The pictures are sorted in each of the sorting features according to the sorting priority sequence. If pictures have no sorting features, the pictures are stored in a file of a storage system of the electronic device. The pictures having the same sorting sub-feature of the sorting feature are stored in a picture file.

Abstract: A computer-implemented method, program, and system for calculating similarity between nodes in a graph by computer processing. The method includes: calculating a new label value of a node on the basis of a label value of a node adjacent to the node with respect to each of the nodes in one or more graphs; correcting the new label value of the adjacent node to remove an influence of the label value of a target node with respect to each of the target nodes for the calculation of the similarity between the nodes; and calculating the similarity between the target nodes by using the corrected new label value of the node adjacent to one target node and the corrected new label value of the node adjacent to another target node.

Abstract: A method and apparatus for applying gradient edge detection to detect features in a biometric, such as a fingerprint, based on data representing an image of at least a portion of the biometric. The image is modeled as a function of the features. Data representing an image of the biometric is acquired, and features of the biometric are modeled for at least two resolutions. The method and apparatus improves analysis of both high-resolution images of biometrics of friction ridge containing skin that include resolved pores and lower resolution images of biometrics without resolved pores.

Abstract: The use of an image capture device with a IPTV Set Top Box allows for the STB to detect a plurality of viewers, and to then provide access conditions that are appropriate to the detected viewers. In cases where a viewer has not been profiled this may include creating a profile for the user, while in cases where a plurality of users are detected, a set of access rights and permissions determined in accordance with the plurality of users can be provided.

Abstract: An automatically sending digital image method for a portable communication apparatus is disclosed. The apparatus has multiple contact person data. Each contact person data corresponds to a contact person and includes a face photograph and an E-mail address. The method comprises the steps of gathering a digital image; recognizing a face picture of the digital image; comparing the face picture of the digital image with the face photograph of each contact person; setting the contact person as a picture contact person when the face picture of the digital image matches the face photograph of the contact person; selecting multiple communication contact persons from the contact persons based on the picture contact persons according to a sending mode; attaching the digital image to an E-mail; and sending the E-mail to the E-mail addresses of the communication contact persons.

Abstract: Biopsy of the prostate using 2D transrectal ultrasound (TRUS) guidance is the current gold standard for diagnosis of prostate cancer; however, the current procedure is limited by using 2D biopsy tools to target 3D biopsy locations. We have discovered a technique for patient-specific 3D prostate model reconstruction from a sparse collection of non-parallel 2D TRUS biopsy images. Our method can be easily integrated with current TRUS biopsy equipment and could be incorporated into current clinical biopsy procedures for needle guidance without the need for expensive hardware additions. We have demonstrated the model reconstruction technique using simulated biopsy images from 3D TRUS prostate images of 10 biopsy patients. This technique of model reconstruction is not limited to the prostate, but can be applied to the reconstruction of any tissue acquired with non-parallel 2-dimensional ultrasound images.

Abstract: Techniques are described to employ image recognition techniques to content. In an implementation, one or more images are identified in content using a signature derived from the one or more images. Metadata associated with the content is then supplemented based on the identified one or more images.

Abstract: A method and apparatus for identifying suspect layout features from a plurality of layout features of an integrated circuit (IC) layout. A plurality of snippet images is generated, each of which depicts at least a portion of a suspect layout feature which is different from suspect layout features depicted in others of the plurality of snippet images. The suspect layout features are determined based on the diagnosis of a plurality of defective ICs manufactured in accordance with the IC layout. A plurality of clusters is generated, and each of the clusters contains a group of the plurality of snippet images based on similarities between the snippet images.

Abstract: Text in web pages or other text documents may be classified based on the images or other objects within the webpage. A system for identifying and classifying text related to an object may identify one or more web pages containing the image or similar images, determine topics from the text of the document, and develop a set of training phrases for a classifier. The classifier may be trained and then used to analyze the text in the documents. The training set may include both positive examples and negative examples of text taken from the set of documents. A positive example may include captions or other elements directly associated with the object, while negative examples may include text taken from the documents, but from a large distance from the object. In some cases, the system may iterate on the classification process to refine the results.