Abstract: Example methods, apparatus, systems to perform context-based image recognition are disclosed. Disclosed example methods include comparing a first and second reference region of a reference image with a first and second region of a first captured image to determine a first and second match value. In response to determining the first and second match values satisfy a first and second threshold: associating the first captured image with a product associated with the first reference image, the product being associated with a plurality of second reference images stored in the database. Decrementing index values associated with ones of the second reference images. Removing a reference record associated with one of the second reference images from the database based on a corresponding one of the second index values satisfying a first condition, the removal of the reference record reducing the storage space required to store reference records in the database.

Abstract: Depth camera systems and methods of operation use coded structured light to determine depth values. One example method includes projecting a structured light pattern towards a target region. The structured light pattern includes a plurality of parallel bars that encode a plurality of codes. The method includes, for each of a plurality of rows of pixels that are transverse to the plurality of parallel bars: decoding the plurality of parallel bars represented in the row of pixels to identify a location of each of the plurality of codes in the row of pixels; determining a plurality of disparities respectively between the identified locations of the plurality of codes and a plurality of reference locations respectively associated with the plurality of codes; and determining a depth value for each identified location based at least in part on the determined disparity for such location.

Abstract: A system that incorporates teachings of the subject disclosure may include, for example, receiving a graphical representation of an object surface having a number of inscriptions indicative of information encoded upon the object surface. The graphical representation of the object surface is transcribed by the system to determine markings from the inscriptions. A number of alternative corresponding symbols are determined by the system. The alternative corresponding cuneiform symbols are determined from a number of the markings. A number of alternative transliterations are determined by the system. The alternative transliterations are determined from of a symbol of the multiple alternative corresponding symbols. A number of alternative translations are also determined by the system of a transliteration of the multiple translations transliterations. Other embodiments are disclosed.

Abstract: Provided in the present disclosure is a fingerprint bookmark system which may be implemented in a vehicle with one or more configurable interior settings. The fingerprint bookmark system may contain a scanner which may be configured to record a fingerprint from a vehicle occupant such that a fingerprint image showing the fingerprint and a duration data for the fingerprint image are recorded by the scanner. The system may contain one or more processors which may be configured to compare the duration data associated with the fingerprint image with a duration threshold. The one or more processors may be configured to initiate a search to obtain a bookmark for the fingerprint shown in the fingerprint image when the duration data is less than the duration threshold. The one or more processors may be further configured to create a new bookmark when the duration data exceeds the duration threshold.

Abstract: A substrate detection device and a substrate direction method are disclosed in the embodiments for achieving a wide-range high-compatibility detection of leads in a peripheral circuit region of a liquid crystal display. The detection device comprises a converting unit configured to calculate a gray scale of a gray image of a circuit lead region of a substrate based on the gray image of the circuit lead region of the substrate, and to convert the gray image into an image of leads in the circuit lead region, based on a difference between the calculated gray scales of the leads and of the substrate in the circuit lead region; and a judging unit configured to judge a state of the leads in the circuit lead region based on the image of the leads in the circuit lead region.

Abstract: A method for capturing three-dimensional photographic lighting of a spherical lighting device is described. Calculation of boundaries of the spherical lighting device based on lighting properties of at least one light source in a set location of the spherical lighting device is performed. A mapping of multitude points of the spherical lighting device to three-dimensional vectors of at least one camera device using a logical grid is performed. A measurement of brightness of the logical grid of the spherical lighting device is performed. The method further comprises determining brightest grid point of the logical grid of the spherical lighting device, wherein the brightest grid point of the logical grid is measured within a region brightness of the spherical lighting device. The method further comprises calculating the region of brightness of the spherical lighting device based on the determined brightest grid point of the logical grid.

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 cross-modal sensor fusion technique described herein tracks mobile devices and the users carrying them. The technique matches motion features from sensors on a mobile device to image motion features obtained from images of the device. For example, the acceleration of a mobile device, as measured by an onboard internal measurement unit, is compared to similar acceleration observed in the color and depth images of a depth camera. The technique does not require a model of the appearance of either the user or the device, nor in many cases a direct line of sight to the device. The technique can operate in real time and can be applied to a wide variety of ubiquitous computing scenarios.

Abstract: Provided are an image processing apparatus and an image processing method thereof. The image processing method extracts at least one texture area from an input image according to at least one texture feature of an object, processing, for each texture area of the extracted at least one texture area, the texture area using an image set value respectively corresponding to the texture area, and combining the at least one texture area that is processed by the processing and outputting the combined at least one texture area.

Abstract: A computing device with multiple image capture elements can selectively activate those elements in order to keep an object of interest within the field of view of at least one of those elements, while conserving resources by not keeping all the image capture elements active. The object can be located using an appropriate object recognition process. The location, and thus the motion, of the object then can be tracked over time using one or the image capture elements. The motion can be monitored to determine when the object is likely to pass into the field of view of another image capture element. The determination can be made based upon factors such as location, direction, speed, acceleration, and predicted time within the current field of view. Such an approach allows an identified object to be tracked and kept in a field of view while conserving resources on the device.

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: A biometric authentication apparatus and method is disclosed which may comprise a biometric authentication unit which may comprise: a biometric object sensor comprising sensor elements and a sensor computing device; a wake-on-event logic controller maintaining the sensor computing device in one of a powered-off or powered down mode, and including a bulk biometric object detector configured to detect a biometric object on or in the vicinity of the sensor elements and to power-on or power-up the sensor computing device responsive to the detection of the biometric object on or in the vicinity of the sensor elements; the sensor computing device configured to analyze one or more lines of biometric object image comprising a partial biometric object image and determine if the partial biometric image belongs to a biometric object desired to be imaged to obtain a complete biometric object image, and to provide a power-on or power-up signal to a host electronic device computing device when the partial biometric image i

Abstract: The present invention refers in general to the measurement of aberrations of the optical system (E) of a living being, in particular human. More specifically, the invention refers to methods and systems for reconstructing a wavefront (W(z,p)) and/or for constructing a refracting error map.

Abstract: Systems and methods are disclosed for classifying vehicles by performing scale aware detection; performing detection assisted sampling for convolutional neural network (CNN) training, and performing deep CNN fine-grained image classification to classify the vehicle type.

Abstract: Provided in the present disclosure is a fingerprint bookmark system which may be implemented in a vehicle with one or more configurable interior settings. The fingerprint bookmark system may contain a scanner which may be configured to record a fingerprint from a vehicle occupant such that a fingerprint image showing the fingerprint and a duration data for the fingerprint image are recorded by the scanner. The system may contain one or more processors which may be configured to compare the duration data associated with the fingerprint image with a duration threshold. The one or more processors may be configured to initiate a search to obtain a bookmark for the fingerprint shown in the fingerprint image when the duration data is less than the duration threshold. The one or more processors may be further configured to create a new bookmark when the duration data exceeds the duration threshold.

Abstract: A system and method for providing an interactive shopping experience via webcam is disclosed. A particular embodiment includes enabling a user to select from a plurality of items of virtual apparel; obtaining an image of a user via a web-enabled camera (webcam); using a data processor to perform facial detection on the image to isolate an image of a face of the user; estimating the user's position according to a position and a size of the image of the user's face; modifying an image corresponding to the selected item of virtual apparel based on the size of the image of the user's face; and auto-fitting the modified image corresponding to the selected item of virtual apparel to the image of the user's face.

Abstract: Video of one or more people is obtained and analyzed. Heart rate information is determined from the video and the heart rate information is used in mental state analysis. The heart rate information and resulting mental state analysis are correlated to stimuli, such as digital media which is consumed or with which a person interacts. The heart rate information is used to infer mental states. The mental state analysis, based on the heart rate information, can be used to optimize digital media or modify a digital game.

Abstract: Methods and apparatuses are presented for determining whether a gesture is being performed in a sequence of source images. In some embodiments, a method includes detecting a gesture in each of one or more reference images using one or more gesture models of a plurality of gesture models. The method may also include selecting a first gesture model from the one or more gesture models that most closely matches the detected gesture, prioritizing the first gesture model over other gesture models in the plurality of gesture models for searching for the gesture in the sequence of source images, and scanning the sequence of source images to determine whether the gesture is being performed, using the prioritized first gesture model. If the gesture is being performed, the method may end scanning prior to using another gesture model of the plurality of gesture models to determine whether the gesture is being performed.

Abstract: Provided in the present disclosure is a fingerprint bookmark system which may be implemented in a vehicle with one or more configurable interior settings. The fingerprint bookmark system may contain a scanner which may be configured to record a fingerprint from a vehicle occupant such that a fingerprint image showing the fingerprint and a duration data for the fingerprint image are recorded by the scanner. The system may contain one or more processors which may be configured to compare the duration data associated with the fingerprint image with a duration threshold. The one or more processors may be configured to initiate a search to obtain a bookmark for the fingerprint shown in the fingerprint image when the duration data is less than the duration threshold. The one or more processors may be further configured to create a new bookmark when the duration data exceeds the duration threshold.

Abstract: An electronic device is provided. The electronic device includes a first memory unit for storing a non-payment application, a first processor, a fingerprint sensing unit and a security element including a second memory unit and a second processor. The second memory unit stores a payment application and user fingerprint information. When the second processor executes the payment application, the fingerprint sensing unit captures a fingerprint image of a user's finger and the second processor transmits the fingerprint image to the first processor via a secure channel. The first processor calculates biometric characteristics of the fingerprint image to generate to-be-recognized fingerprint information which is transmitted to the second processor via the secure channel. When the second processor determines that the to-be-recognized fingerprint information matches the user fingerprint information, the second processor generates an authentication signal for a payment transaction.