Abstract: A biometric sensor device for measuring structures and properties of an object of organic tissue, especially a fingerprint sensor, includes a plurality of linear sensing arrays adapted to generate a respective plurality of measurement data at a predetermined sampling rate for a predetermined time period, based upon a sliding movement of the organic tissue over the plurality of linear sensing arrays, and a processor adapted to generate a partial image of the organic tissue from each of the respective plurality of measurement data. The processor is further adapted to generate a complete image of the organic tissue by combining the partial image generated from each of the plurality of measurement data, wherein the complete image is larger than each of the partial images, and the predetermined time period is defined so as to measure a section of said organic tissue given by the distance between two linear arrays.

Abstract: Methods, apparatus, systems, and computer-readable media are provided for using a camera of a robot to capture an image of the robot's environment, detecting edges in the image, and localizing the robot based on comparing the detected edges in the image to edges derived from a three-dimensional (“3D”) model of the robot's environment from the point of view of an estimated pose of the robot in the environment. In some implementations, the edges are derived based on rendering, from the 3D model of the environment, a model image of the environment from the point of view of the estimated pose—and applying an edge detector to the rendered model image to detect model image edges from the model image.

Abstract: A method of extracting a bed area of a bed performed by a computer, includes detecting linear edges which remain stationary among plural images; and selecting a bed area candidate based on lengths of the linear edges and angles between the linear edges which cross to each other in a U shape formed as combinations of the detected linear edges.

Abstract: A wafer alignment system includes an image capture device that captures an image of a wafer positioned on a pedestal. An image analysis module analyzes the image to detect an edge of the wafer and a notch formed in the edge of the wafer and calculates, based on a position of the notch, first and second edge positions corresponding to the edge of the wafer. An offset calculation module calculates an angular offset of the wafer based on the first position and the second edge positions. A system control module controls transfer of the wafer from the pedestal to a process cell based on the angular offset.

Abstract: In some implementations, faces based on image data from a camera of a mobile device are detected and one or more of the detected faces are determined to correspond to one or more people in a set of people that are classified as being important to a user. In response to determining that one or more of the detected faces correspond to one or more people in the set of people that are classified as being important to the user, quality scores are determined for the one or more detected faces that are determined to correspond to one or more people that are classified as important to the user. Multiple images with the camera are captured based on the quality scores such that, for each face determined to correspond to a person that is classified as important to the user, at least one of the multiple images includes an image of the face having at least a minimum quality score. A composite image is generated that combines the multiple images.

Abstract: Systems and methods are described for determining laterality-adjusted attraction compatibility from digitized images of human faces in relaxed and smiling states. A plurality of distances between sets of data points of interest are identified, and used to determine in a consistent manner one or more biometric indices associated with each of the faces, and determine attraction compatibility between humans based upon a selected proximity of the computed biometric indices, dependent on the condition of laterality.

Abstract: Iris recognition can be accomplished for a wide variety of eye images by using plenoptic imaging. Using plenoptic technology, it is possible to correct focus after image acquisition. One example technology reconstructs images having different focus depths and stitches them together, resulting in a fully focused image, even in an off-angle gaze scenario. Another example technology determines three-dimensional data for an eye and incorporates it into an eye model used for iris recognition processing. Another example technology detects contact lenses. Application of the technologies can result in improved iris recognition under a wide variety of scenarios.

Abstract: A method determining user liveness is provided that includes calculating, by a device, eye openness measures for a frame included in captured authentication data, and storing the eye openness measures in a buffer of the device. Moreover the method includes calculating confidence scores from the eye openness measures stored in the buffer, and detecting an eye blink when a maximum confidence score is greater than a threshold score.

Abstract: To obtain a position detection device capable of detecting highly accurate and robust position by suppressing affect of error detection of an edge, provided is a configuration for performing a validity determination of edges detected by binarizing an image signal (21) converted by a light-receiving element (3) for receiving light irradiated from a light source (1) toward a scale (2) having a code pattern, and performing position detection after removing the edges determined to be invalid as edges that have been affected by foreign matter and the like among the edges on which the validity determination has been performed.

Abstract: The specification and drawings present a new method, apparatus and software related product (e.g., a computer readable memory or a storage device) for automatic timely finding of deficiencies in objects such as automobiles, railcar, airplane tractor trailer, intermodal containers and the like, by automatically monitoring the object's appearance changes while they are moving in a course of normal operation using their camera pictures/images, e.g., during passing through a check point.

Abstract: A method of inspecting a unit under test containing brazed dielectric to metal bond, includes providing at least one image of the bond and determining a characteristic of the bond based on at least one of a presence and size of a glassy phase in or adjacent to the bond.

Abstract: A method of generating a three-dimensional (3D) image of a target object includes acquiring ultrasound data of the target object; and generating the 3D image of the target object by using the ultrasound data so that a part of the target object having attribute information different than attribute information of other parts of the target object is shown on the 3D image differently than the other parts.

Abstract: A mobile device with camera automatically captures an image of a check from a video sequence. A computing application assesses quality metrics of a frame of the video and, if acceptable, initiates capture of the check in that frame without user selection. Metrics include an aspect ratio of the check, image quality of the routing transit symbols that delineate a routing transit number on a MICR line of the check, distances between the routing transit symbols and to an edge of the check, recognition of digits of the routing transit number, checksum of the routing transit numbers, and image sharpness. Other embodiments note cropping of the check from the background of the image, properly orienting the check for viewing, and providing color coded visual feedback to users about the quality of the image frame about the check, to name a few.

Abstract: The provided is an image processing method, which includes: converting a to-be-processed image into a gray image; performing Gaussian blur processing having a predefined fuzzy radius on the gray image, and obtaining a reference image; and according to gray values of reference pixels of the reference image, decreasing a pixel value of a pixel of the to-be-processed image corresponding to a reference pixel whose gray value is larger than a gray threshold, increasing a pixel value of a pixel of the to-be-processed image corresponding to a reference pixel whose gray value is smaller than the gray threshold, and obtaining an adjusted image.

Abstract: Identifying whether an image includes a search image can be accomplished using region analysis and/or parts model analysis. Region analysis can include dividing a received image into regions and analyzing each region by: enlarging the region, applying a gradient histogram transformation to the enlarged region, and comparing the transformed region, at various angles, to a set of search patterns. Parts model analysis can include identifying key features of an image such as prominent lines or areas, objects or object edges, consecutive colors; generating one or more parts models from the key features by representing the key features as geometric objects; and comparing each parts model, at various angles, to a set of search patterns. The comparison employed in region analysis or parts model analysis can employ classifiers trained on the search images.

Abstract: Disclosed is an image feature extraction method including a step of defining a combination of at least two kinds of solid angles along at least two directions, of an input spherical image; a step of determining respective values of the combination of the at least two kinds of solid angles, so that surface areas of spherical crowns of spherical segments, which are obtained by dividing the spherical image by the respective values of the combination of the at least two kinds solid angles, have a same value; and a step of generating, by utilizing the respective values of the combination of the at least two kinds of solid angles, an image feature template so as to conduct image feature extraction.

Abstract: Methods and systems for recalibrating sensing devices without using familiar targets are provided herein. The method may include: capturing a scene using a sensing device; determining whether or not the device is calibrated; in a case that said sensing device is calibrated, adding at least one new landmark to the known landmarks; in a case that said sensing device is not calibrated, determining at least some of the captured objects as objects stored on a database as known landmarks at the scene whose position is known; and calibrating the sensing device based on the known landmarks. The system may have various architectures that include a sensing device which captures images of the scene and further derive 3D data on the scene of some form.

Abstract: A computer-implemented method of performing fingerprint based authentication from matching local features represented by binary features which can be matched in an efficient implementation in one or both of software and hardware by computing Hamming distances between the binary features. A local feature in a verification image is said to be matching with a local feature in an enrolment image if the Hamming distance between the binary features falls below a pre-determined threshold. The computer-implemented method retains information about the similarity of local features in the two images and utilities it in an efficient way with the objective of improving fingerprint recognition rates and enabling finger liveness detection. In an aspect a normalized feature similarity distribution is generated as part of the representation in recognition and liveness detection.

Abstract: When a positional relationship between reference blocks differs from a positional relationship between comparison blocks, a filtering device replaces the corresponding comparison blocks to update positional relationship information (order of correlations and the positional relationship thereof) into a state where the information should be and, thus, appropriately derives a difference value of an object so that the positional relationship between the reference blocks become identical to the positional relationship between the comparison blocks.

Abstract: Methods, apparatuses, and embodiments related to analyzing the content of digital images. A computer extracts multiple sets of visual features, which can be keypoints, based on an image of a selected object. Each of the multiple sets of visual features is extracted by a different visual feature extractor. The computer further extracts a visual word count vector based on the image of the selected object. An image query is executed based on the extracted visual features and the extracted visual word count vector to identify one or more candidate template objects of which the selected object may be an instance. When multiple candidate template objects are identified, a matching algorithm compares the selected object with the candidate template objects to determine a particular candidate template of which the selected object is an instance.