Abstract: Elicited MRI signals are processed into MR image data in conjunction (a) with use of an initial spatially-selective RF tag pulse (tag-on) and (b) without use of an initial spatially-selective NMR RF tag pulse (tag-off) in respectively corresponding data acquisition subsequences. Multi-dimensional tag-on and tag-off data acquisition subsequences are used for each of plural time-to-inversion (TI) intervals without using an injected contrast agent. Acquired image data sets are subtracted for each TI interval to produce difference values as a function of time representing blood perfusion for the ROI that differentiates between normal, ischemic and infarct tissues.

Abstract: Described is a technology by which medical patient facial images are acquired and maintained for associating with a patient's records and/or other items. A video camera may provide video frames, such as captured when a patient is being admitted to a hospital. Face detection may be employed to clip the facial part from the frame. Multiple images of a patient's face may be displayed on a user interface to allow selection of a representative image. Also described is obtaining the patient images by processing electronic documents (e.g., patient records) to look for a face pictured therein.

Abstract: A detection apparatus that detects a feature point of an image, comprising: a conversion unit configured to convert a first image into a second image; a setting unit configured to set a first target number indicating the number of feature points to be detected from the first image and to set a second target number indicating the number of feature points to be detected from the second image based on the first target number and the number of feature points that are detected from the first image; and a processing unit configured to perform processing for detecting a feature point from the first image based on the first target number and processing for detecting a feature point from the second image based on the second target number.

Abstract: In inspecting a substrate having a transparent oxide film or a metal film formed on a surface thereof by using a dark field type inspection apparatus installing a laser light source, an illuminating beam having a high coherence causes variations in reflection strength due to multiple interferences within the transparent oxide film or an interference of scattered beams due to the surface roughness of the metal film occurs and which leads to degradation in the sensitivity of defect detection. The present invention solves the problem by providing a low-coherence but high-brightness illumination using a highly directive broadband light source, and a system in which the conventional laser light source is simultaneously employed to selectively use the light sources, thereby enabling a highly sensitive inspection according to the condition of a wafer.

Abstract: A method of encoding a hidden image in high frequency spatial frequencies of a line pattern of a host image. A set of host image spatial frequencies is generated based on a predefined mapping of a domain of a set of representative scalar values of the hidden image and a domain of the host image spatial frequencies. The line pattern of the host image is generated based on the set of host image spatial frequencies. The host image may be composed of tiles containing parallel line segments, with each tile encoding a corresponding one of the scalar values. The host image may be composed of a stochastic line pattern generated from a white noise image convolved with a space variable kernel based on the predefined domain mapping. The hidden image may be decoded algorithmically or optically in a single step.

Abstract: Method for a wearable device worn by a first user to generate or retrieve a personal contact record when encountering a second user is disclosed. The method of generating the personal contact record includes capturing a facial photograph of the second user and generating a face information; capturing a card photograph of a business card and performing OCR to obtain a card information; retrieving time and location information to obtain an encounter information; and generating the personal contact information. The method of retrieving the personal contact record includes capturing a facial photograph of the second user; searching through a contact database comprising facial images associated with identities of persons, and attempting to match the captured facial photograph with one of the facial images in the contact database to determine the identity of the second user, and providing messages. Wearable devices for performing the above methods are also disclosed.

Abstract: Embodiments are disclosed for detecting duplicate and near duplicate images. An exemplary method includes receiving an original image, preparing the image for fingerprinting, and calculating an image fingerprint, the fingerprint expressed as a sequence of numbers. The method further includes comparing the image fingerprint thus obtained with a set of previously stored fingerprints obtained from a set of previously stored images, and determining if the original image is either a duplicate or a near duplicate of an image in the set if the dissimilarity between the two fingerprints is less than a defined threshold T. Once a duplicate or near duplicate is detected, various defined actions may be taken, including culling the less desirable image or referring the redundancy to a user.

Abstract: The invention relates to computer visual recognition output image-aided LED die sorting system and sorting method. The computer visual recognition output image-aided LED die sorting system comprises an optical inspection device, a scanning device, a tablet computer device and a die sucking device. The scanning device scans an inspection result of the optical inspection device and transfers the scan data to the tablet computer device, and then the tablet computer device displays a recognition signal for a user to determine rapidly. Meanwhile, the sorting method can be performed to decrease the manpower cost and enhance the quality yield and production speed.

Abstract: Disclosed herein are a method, system, and computer program product for determining a correspondence between a first object (713) tracked in a first field of view and a second object tracked (753) in a second field of view. The method determines a first area (711) in the first field of view, based on the location and size of the first object (713). The method utilizes a predetermined area relationship between the first area (711) in the first field of view and at least one area (751) in the second field of view to determine a second area (751) in the second field of view. In one embodiment, the method determines the second area (751) in the second field of view by comparing predetermined area relationships between the first area (711) and any areas (751) in the second field to determine a best match.

Abstract: An attached matter detector includes a light source configured to irradiate light toward a plate-like transparent member from one surface thereof, an imaging device configured to image reflection light by attached matter on a surface of the plate-like transparent member, a memory configured to previously store flare information obtained by the image device by turning on the light source in a state without having disturbance light and the attached matter on the surface of the plate-like transparent member, and a difference information-obtaining device configured to obtain difference information between a light-up image as an image obtained by the imaging device with the turned-on light source and a light-out image as an image obtained by the imaging device with the turned-off light source, wherein the attached matter on the surface of the plate-like transparent member is detected based on the difference information and the flare information stored in the memory.

Abstract: In a technique for quantifying the spatial distribution of cells or sub-cellular structures, image data representing a spatial map of biomarkers is processed to obtain a set of coordinates. Each of the coordinates in the set denotes the location of a cell or sub-cellular structure represented by a biomarker or combination of biomarkers. The set of coordinates is processed into a two-dimensional symmetric (2N?1)×(2N?1) or 2N×2N matrix. The resulting matrix may be used for various purposes, such as assigning subjects clinical characteristics, and/or forming and/or testing scientific hypotheses for interventions, for example. Also described herein is an apparatus for performing the described technique.

Abstract: Disclosed are a device for capturing an image of the iris and a user recognition device applying same in order to control access. According to one embodiment of the present invention, the device for capturing an image of the iris includes: a first light source corresponding to the left eye; a second light source corresponding to the right eye; a first duct disposed adjacent to the first light source for restricting the illumination angle of the first light source; a second duct disposed adjacent to the second light source for restricting the illumination angle of the second light source; a half mirror transmitting the light emitted from the first and second light sources in order to direct the light onto the left and right eyes, wherein the half mirror reflects the images of the left and right eyes; and left/right cameras respectively photographing the left and right eyes in order to recognize the irises.

Abstract: A video visual and audio query system for quickly identifying video within a large known corpus of videos being played on any screen or display. In one embodiment, the system can record via a mobile phone camera and microphone a live video clip from the TV and transcode it into a sequence of frame-signatures. The signatures representative of the clips can then be matched against the signatures of the TV content in a corpus across a network to identify the correct TV show or movie.

Abstract: Subject matter disclosed herein relates to electronic image object or logo recognition.

Abstract: A computer-implemented method for determining whether a first image contains at least a portion of a second image, includes: dividing set first image into multiple image regions; for a particular image region of the multiple image regions, determining a particular set of feature points associated with the particular image region; and attempting to match feature points in the particular set of feature points with second feature points associated with the second image to determine whether the particular image region of the first image contains at least a portion of the second image, wherein the first image is considered to contain at least a portion of a second image when the particular image region of the first image contains at least a portion of the second image.

Abstract: A face detection device for detecting the face of a person in an input image may include the following elements: a face detection circuit including a hardware circuit configured to detect a face in an input image; a signal processing circuit configured to perform signal processing based on an input image signal in accordance with a rewritable program including a face detection program for detecting a face in an input image; and a controller configured to allow the face detection circuit and the signal processing circuit to perform face detection on an image of a frame or on respective images of adjacent frames among consecutive frames, and to control face detection by the signal processing circuit on the basis of a face detection result obtained by the face detection circuit.

Abstract: Enhanced contrast between an object of interest and background surfaces visible in an image is provided using controlled lighting directed at the object. Exploiting the falloff of light intensity with distance, a light source (or multiple light sources), such as an infrared light source, can be positioned near one or more cameras to shine light onto the object while the camera(s) capture images. The captured images can be analyzed to distinguish object pixels from background pixels.

Abstract: In embodiments, apparatuses, methods and storage media for human-computer interaction are described. In embodiments, an apparatus may include one or more light sources and a camera. Through capture of images by the camera, the computing device may detect positions of objects of a user, within a three-dimensional (3-D) interaction region within which to track positions of the objects of the user. The apparatus may utilize multiple light sources, which may be disposed at different distances to the display and may illuminate the objects in a direction other than the image capture direction. The apparatus may selectively illuminate individual light sources to facilitate detection of the objects in the direction toward the display. The camera may also capture images in synchronization with the selective illumination. Other embodiments may be described and claimed.

Abstract: A variety of systems and methods are described which enable quantitative information to be extracted regarding automated procedures, including those performed at a high speed that may require a user input, without having to interrupt the procedure. In addition, these systems and methods serve to provide information on one or more parameters of the automated procedure, whereby they may be modified, if required, to improve the automated procedure or the results from such a procedure. The systems and methods provided are especially useful in automated hair transplantation procedures.

Abstract: An object-image alignment data generating method for use in an object recognition system is presented. The method obtains a 3D model and a set of 2D images of the object. Each 2D image from the set is captured based on a particular camera point of view. The method then uses the 3D model of the object to generate multiple silhouettes of the object according to different camera point of views. Each silhouette is then matched and aligned with a 2D image based on the corresponding camera point of view. The method also derives at least one descriptor from the 2D images and compiles feature points that correspond to the descriptors. Each feature point includes a 2D location and a 3D location. The method then generates an object-image alignment packet by packaging the 2D images, the descriptors, and the feature points.