Abstract: A system may comprise a registration device configured to register patterns for users; a recording device configured to record a received pattern, as an electronic pattern, wherein the recording device recognizes the received pattern as one of the registered patterns; a receiving device configured to observe human movement patterns with a camera, transform the observed human movement patterns to an electronic signal, and receive the recognized registered pattern from the recording device by a first wireless transmission; a forwarding device configured to transmit the electronic signal, and the received recognized registered pattern to an alert service by a second wireless transmission; and an alert service, configured to receive the electronic signal and the received recognized registered pattern from the forwarding device and configured to transmit the electronic signal and the received recognized registered pattern to a second electronic device by a third wireless transmission.

Abstract: In an approach to managing images and captions, one or more computer processors receive one or more captured images of including one or more subjects. The one or more computer processors identify the one or more subjects from the first image. The one or more computer processors identify the context of the first image of the one or more captured images containing the one or more subjects. The one or more computer processors analyze one or more social networking histories and relationships associated with the one or more subjects using recognition techniques. The one or more computer processors create one or more captions associated with the first image of the one or more captured images based on the social networking histories and relationships of the one or more subjects and the identified context of the first image of the one or more captured images containing the one or more subjects.

Abstract: The present invention is to provide a system, a method, and a program for identifying a person depicted in a portrait. The system for identifying a person depicted in a portrait 1 receives input of portrait data of the portrait, stores different individual data depending on a plurality of persons, extracts a feature point of the received portrait by image analysis, checks the extracted feature point against the individual data, identifies a person depicted in the portrait from the check result, and displays the identification result together with a probability corresponding to an identical level.

Abstract: Methods and systems for determining a spin rate of a projectile are provided. A receiving module receives a video of a launch of a projectile in which the projectile having at least one marking disposed thereon. A segmenting module segments a plurality of shapes of the projectile from the video. The segmenting module includes a sensitivity module configured to increase a sensitivity of the video to find the projectile in the video. An extraction module extracts at least one column of pixels of the at least one marking from the shapes. A generating module generates a stripe pixel column history image from the at least one column of pixels. A calculating module calculates a spin rate of the projectile from the stripe pixel column history image.

Abstract: Representations of an object in an image generated by an imaging apparatus can comprise two or more separate sub-objects, producing a compound object. Compound objects can negatively affect the quality of object visualization and threat identification performance. As provided herein, a compound object can be separated into sub-objects. Three-dimensional image data of a potential compound object is projected into a two-dimensional manifold projection, and segmentation is performed on the two-dimensional manifold projection of the compound object to identify sub-objects. Once sub-objects are identified, the two-dimensional, segmented manifold projection is projected into three-dimensional space. A three-dimensional segmentation may then be performed to identify additional sub-objects of the compound object that were not identified by the two-dimensional segmentation.

Abstract: There is provided a capacitive fingerprint sensing device for sensing a fingerprint pattern of a finger, the capacitive fingerprint sensing device comprising: a protective dielectric top layer having an outer surface forming a sensing surface to be touched by the finger; at least one electrically conductive sensing structure arranged underneath the top layer; readout circuitry coupled to the at least one electrically conductive sensing structure to receive a sensing signal indicative of a distance between the finger and the sensing structure; and a plurality of individually controllable electroacoustic transducers arranged underneath the top layer and configured to generate a focused ultrasonic beam, and to transmit the ultrasonic beam through the protective dielectric top layer towards the sensing surface to induce an ultrasonic vibration potential in a ridge of finger placed in contact with the sensing surface at the location of the ultrasonic beam.

Abstract: A “Stroke Untangler” composes handwritten messages from handwritten strokes representing overlapping letters or partial letter segments are drawn on a touchscreen device or touch-sensitive surface. These overlapping strokes are automatically untangled and then segmented and combined into one or more letters, words, or phrases. Advantageously, segmentation and composition is performed without requiring user gestures, timeouts, or other inputs to delimit characters within words, and without using handwriting recognition-based techniques to guide untangling and composing of the overlapping strokes to form characters. In other words, the user draws multiple overlapping strokes. Those strokes are then automatically segmented and combined into one or more corresponding characters. Text recognition of the resulting characters is then performed. Further, the segmentation and combination is performed in real-time, thereby enabling real-time rendering of the resulting characters in a user interface window.

Abstract: Provided are techniques for selecting an image for comparison with a plurality of images; specifying one or more visual criterion for searching the plurality of images, wherein the visual criteria are based upon a visual similarity between the image and the plurality of images; searching the plurality of images based upon the criteria to identify a subset of the plurality of images that meet a threshold with respect to the visual similarity; and displaying in a graphical user interface the subset of images.

Abstract: A method for processing high dynamic range (HDR) images by selecting preferred tone mapping operators and gamut mapping algorithms based on scene classification. Scenes are classified into indoor scenes, outdoor scenes, and scenes with people, and tone mapping operators and gamut mapping algorithms are selected on that basis. Prior to scene classification, the multiple images taken at various exposure values are fused into a low dynamic range (LDR) image using an exposure fusing algorithm, and scene classification is performed using the fused LDR image. Then, the HDR image generated from the multiple images are tone mapped into a LDR image using the selected tone mapping operator and then gamut mapped to the color space of the output device such as printer.

Abstract: Provided are techniques for selecting an image for comparison with a plurality of images; specifying one or more visual criterion for searching the plurality of images, wherein the visual criteria are based upon a visual similarity between the image and the plurality of images; searching the plurality of images based upon the criteria to identify a subset of the plurality of images that meet a threshold with respect to the visual similarity; and displaying in a graphical user interface the subset of images.

Abstract: A phase estimation method estimates the phase of signal components using a point spread function. The method obtains a point spread function that expresses complex frequencies at a non integer location in terms of integral frequencies, for a complex frequency of a signal at a non integer location in a complex frequency domain. It obtains complex frequencies of the signal for the integral frequencies, and computes a sum of products of the complex frequencies of the signal at the integral frequencies with the corresponding complex values of the point spread function to provide an estimate of phase of the signal at the non integer location.

Abstract: A system for analyzing remotely sensed photos of a forest or other areas of interest uses a computer system to increase the variation in NIR data having values that represent items of interest. In one embodiment, a computer system applies a stretching function to the NIR data to increase their variation. The objective spectral stretched NIR data is used to differentiate different types of vegetation in the remotely sensed image. Objective-based Vegetation Index (OVI) values are calculated from the objective spectral stretched NIR data that allow different types of vegetation to be distinguished. In one embodiment, the OVI values are used to differentiate hardwoods from conifers in a digital aerial photo of a forest.

Abstract: An endoscope system for analyzing, when an endoscope is inserted into a subject, an observed region and an unobserved region of the endoscope using information of a three-dimensional image of the subject obtained in advance, including: one or more processors comprising hardware, for: three-dimensionally changing a display direction for displaying a luminal organ model extracted from a three-dimensional image, and when an identification image provided with identification information is generated on the luminal organ model with the display direction changed, generating the identification image in a direction such that a proportion of the non-angle-of-view region in the identification image is largest.

Abstract: Devices, such as computer readable media, and methods, such as automated methods, for labeling and/or matching. Some of the devices and methods are particularly useful for anatomical labeling of human airway trees. Some of the devices and methods are particularly useful for matching branch-points of human airway trees from represented in two or more graphs.

Abstract: A system may comprise a registration device configured to register patterns for users; a recording device configured to record a received pattern, as an electronic pattern, wherein the recording device recognizes the received pattern as one of the registered patterns; a receiving device configured to observe human movement patterns with a camera, transform the observed human movement patterns to an electronic signal, and receive the recognized registered pattern from the recording device by a first wireless transmission; a forwarding device configured to transmit the electronic signal, and the received recognized registered pattern to an alert service by a second wireless transmission; and an alert service, configured to receive the electronic signal and the received recognized registered pattern from the forwarding device and configured to transmit the electronic signal and the received recognized registered pattern to a second electronic device by a third wireless transmission.

Abstract: The present disclosure describes a system, method, and computer program for encoding and decoding a unique signature for a user in a video file, wherein the video file was created using a video format that does not specifically support embedding a unique signature in the video file. A unique signature, comprising a plurality of data bits, is associated with a user and divided into groups. For each group, a different sine wave is created for each bit in the group. The frequencies of the sine waves correspond to the types of bits, and the amplitudes of the sine waves indicate the values of the bits. Group signals are overdubbed on the infrasound range of the audio track of the video file. The unique signature is decoded from the video file by analyzing the frequencies and amplitudes of sine waves in the infrasound range of the audio track.

Abstract: There are provided an environment recognition device and an environment recognition method. The environment recognition device obtains luminances of a target portion in a detection area of a luminance image, assigns a color identifier to the target portion according to the luminances of the target portion, based on association between a color identifier and a luminance range retained in a data retaining unit, and groups target portions assigned one of one or more color identifiers associated with a same specific object, and of which position differences in the width direction and in the height direction are within a predetermined range, based on association between the color identifier and the luminance range retained in the data retaining unit.

Abstract: Methods are provided for defining and determining a formal and verifiable mobile document image quality and usability (MDIQU) standard, or Standard for short. The Standard ensures that a mobile image can be used in an appropriate mobile document processing application, for example an application for mobile check deposit. In order to quantify the usability, the Standard establishes 5 quality and usability grades. A mobile image is first tested to determine if the quality is sufficient to obtain content from the image by performing multiple different image quality assessment tests. If the image quality is sufficient, one or more document usability computations are made to determine if the document or content in the image is usable by a particular application. A ranking is then assigned to the image based on the results of the tests which is indicative of the quality and usability of the image.

Abstract: Described herein are materials and methods for evaluating skin quality and providing customized, concierge skin consultation to consumers. In various aspects, the disclosure includes a method comprising detecting polymorphisms in MMP1, SOD2, and GPX1 from a biological sample, calculating a genetic skin score, comparing the genetic skin score to current skin features, and optionally counseling a consumer regarding a skin care regimen customized to enhance immediate skin quality and/or future skin quality.

Abstract: A boundary line recognition apparatus receives detection results transmitted from camera devices and a laser radar device performing different optical detection methods. These detection results indicate information regarding a lane boundary line of a vehicle lane on a roadway on which an own vehicle drives. The apparatus further obtains surrounding environmental information of the own vehicle on the roadway, and selects at least one of the camera devices and the laser radar device suitable for correctly recognizing the lane boundary line on the basis of the environmental information. The apparatus finally recognizes the lane boundary line with high accuracy on the basis of the detection result transmitted form one or more devices selected based on the environment information.