Abstract: Point cloud data is received and a ground plane is segmented. A two-dimensional image of the segmented ground plane is generated based on intensity values of the segmented ground plane. Lane marking candidates are determined based on intensity within the generated two-dimensional image. Image data is received and the generated two-dimensional image is registered with the received image data. Lane marking candidates of the received image data are determined based on the lane marking candidates of the registered two-dimensional image. Image patches are selected from the two-dimensional image and from the received image data based on the determined lane markings. Feature maps including selected image patches from the registered two-dimensional image and received data are generated. The set of feature maps are sub-sampled, and a feature vector is generated based on the set of feature maps. Lane markings are determined from the generated feature vector.

Abstract: Various methods are provided for facilitating biometric recognition. One example method may comprise receiving an image, the image comprising a plurality of pixels, generating a binary mask image from the image, the binary mask image identifying a plurality of target pixels from among the plurality of pixels, determining a first subset of misclassified target pixels by estimating a first boundary region and identifying a portion of target pixels that are outside of the first boundary region, and determining a second subset of misclassified target pixels by estimating a second boundary region and identifying a portion of target pixels that are within the second boundary region.

Abstract: Embodiments of the present invention disclose a buffer state reporting method and apparatus. The buffer state reporting method includes: triggering transmission of current buffer state report BSR information of a user equipment; and if the user equipment will transmit media access control protocol data unit MAC PDU data packets to a base station and the MAC PDU data packets include a newly transmitted MAC PDU data packet, carrying the BSR information in the newly transmitted MAC PDU data packet for transmission to the base station. In the buffer state reporting method and apparatus of the embodiments of the present invention, when multiple MAC PDUs are transmitted at the same time, BSR information is carried in a newly transmitted MAC PDU, so that a base station acquires BSR information on a user side in a timely manner, thereby improving performance of uplink scheduling for a user.

Abstract: A computing device, for example, receives image data of vehicles on a path captured by a camera. The image is analyzed using a low level feature extraction on the image data. The computing device estimates exhaust levels produced by the vehicles based on the low level feature extraction or based on vehicle classifications and quantities determined from the low level feature extraction.

Abstract: Estimating a blur kernel distribution for visual iris recognition includes determining a first mathematical relationship between an in-focus position of a camera lens and a distance between the lens and an iris whose image is to be captured by the lens. A second mathematical relationship between the in-focus position of the lens and a standard deviation defining a Gaussian blur kernel distribution is estimated. The first mathematical relationship is used to ascertain a desired focus position of the lens based upon the actual position of the living being's eye at the point in time. The second mathematical relationship is used to calculate a standard deviation defining a Gaussian blur kernel distribution. The produced image is digitally unblurred by using the blur kernel distribution defined by the calculated standard deviation.

Abstract: A computing device, for example, receives image data of vehicles on a path captured by a camera. The image is analyzed using a low level feature extraction on the image data. The computing device estimates exhaust levels produced by the vehicles based on the low level feature extraction or based on vehicle classifications and quantities determined from the low level feature extraction.

Abstract: Improved mechanisms for three-dimensional image reconstruction are disclosed. A user is presented with a scene image and allowed to select elements of the image, such as planes, within which features are to be detected. The features are detected and tracked and objects (such as planes) are constructed. The user is allowed to revise the constructed objects and may be allowed to repeat image element selection, with feature detection and tracking and object construction being repeated. When element selection and object construction and user revision are completed, a three-dimensional reconstruction of the scene image is computed.

Abstract: A method, apparatus and computer program product are provided for iris recognition using natural light. A method is provided for receiving, at a user device, a plurality of iris images. The iris images are captured using natural light. The method also includes generating a composite iris ring based on the plurality of iris images, receiving an iris pattern, comparing the composite iris ring to the iris pattern, and determining a match probability based on the comparison of the composite iris ring to the iris pattern.

Abstract: A first set of data including a first tracking identifier for a first webpage component and a destination address for the first webpage component is accessed. A second set of data that includes an address for retrieving a second webpage component, is accessed. The address includes a second tracking identifier. Whether the second tracking identifier is the same as the first tracking identifier is determined. The second webpage component is associated with the destination address when the second tracking identifier is the same as the first tracking identifier.

Abstract: A first set of data including a first tracking identifier for a first webpage component and a destination address for the first webpage component is accessed. A second set of data that includes an address for retrieving a second webpage component, is accessed. The address includes a second tracking identifier. Whether the second tracking identifier is the same as the first tracking identifier is determined. The second webpage component is associated with the destination address when the second tracking identifier is the same as the first tracking identifier.

Abstract: Embodiments of the present invention disclose a buffer state reporting method and apparatus. The buffer state reporting method includes: triggering transmission of current buffer state report BSR information of a user equipment; and if the user equipment will transmit media access control protocol data unit MAC PDU data packets to a base station and the MAC PDU data packets include a newly transmitted MAC PDU data packet, carrying the BSR information in the newly transmitted MAC PDU data packet for transmission to the base station. In the buffer state reporting method and apparatus of the embodiments of the present invention, when multiple MAC PDUs are transmitted at the same time, BSR information is carried in a newly transmitted MAC PDU, so that a base station acquires BSR information on a user side in a timely manner, thereby improving performance of uplink scheduling for a user.

Abstract: Information associated with responses and requests that result from one or more selections of a webpage component is collected. The webpage component corresponds to at least one identifier. At least one set including the at least one identifier and the collected information associated with the responses and requests is determined. A destination webpage for the webpage component corresponding to the webpage component based at least on the information associated with the responses and requests is determined.

Abstract: A method of identifying a living being includes using a time-of-flight sensor to determine a location of a face of the living being. An image of an iris of the living being is produced dependent upon the location of the face as determined by the time-of-flight sensor. The produced image is processed to determine an identity of the living being.

Abstract: Methods are generally provided for forming a coated substrate having a plurality of carbon nanoparticles, along with the resulting coated substrates. In one embodiment, the method includes oxidizing the carbon nanoparticles to form oxygen containing end groups on the surfaces of the carbon nanoparticles; dispersing the oxidized carbon nanoparticles into a polymeric media to form an ink; and depositing the ink onto a substrate to form a coating. Generally, the coating includes the oxidized carbon nanoparticles dispersed within the polymeric material.

Abstract: The present invention provides a process for coating the surface of a substrate comprises the following steps (i) oxidizing the surface of the substrate (ii) applying a composition comprising one or more quaternary ammonium compounds carrying one or more ethylenically unsaturated groups onto the oxidized surface of the substrate and (iii) curing the composition in order to form a coating layer, and substrates obtainable by the latter process.

Abstract: A method of identifying a living being includes using a camera to capture a blurred visual image of an iris of the living being. The blurred visual image is digitally unblurred based on a distribution of eye image gradients in an empirically-collected sample of eye images and characteristics of pupil region. The unblurred image is processed to determine an identity of the living being.

Abstract: Estimating a blur kernel distribution for visual iris recognition includes determining a first mathematical relationship between an in-focus position of a camera lens and a distance between the lens and an iris whose image is to be captured by the lens. A second mathematical relationship between the in-focus position of the lens and a standard deviation defining a Gaussian blur kernel distribution is estimated. The first mathematical relationship is used to ascertain a desired focus position of the lens based upon the actual position of the living being's eye at the point in time. The second mathematical relationship is used to calculate a standard deviation defining a Gaussian blur kernel distribution. The produced image is digitally unblurred by using the blur kernel distribution defined by the calculated standard deviation.

Abstract: A position of a cursor on a display is tracked. It is detected that the cursor is in an area of the display that includes a component of a webpage. It is determined whether the component matches a designated type of component, and details of the component are stored in response to determining that the component matches a designated type of component. A user input that selects the component is detected, and details of the component are accessed in response to detecting the user input. The details of the component are sent to a collection server.

Abstract: A method of identifying a living being includes using a camera to capture a blurred visual image of an iris of the living being. The blurred visual image is digitally unblurred based on a distribution of eye image gradients in an empirically-collected sample of eye images and characteristics of pupil region. The unblurred image is processed to determine an identity of the living being.

Abstract: A method of estimating a blur kernel distribution for visual iris recognition includes determining a first mathematical relationship between an in-focus position of a camera lens and a distance between the lens and an iris whose image is to be captured by the lens. The first relationship is used to estimate a second mathematical relationship between the in-focus position of the lens and a standard deviation defining a Gaussian blur kernel distribution. A position of an eye of a living being at a future point in time is predicted. A focus position of the camera lens is adjusted based upon the predicted position of the eye. The camera lens with the adjusted focus position is used to produce an image of the living being's eye at the point in time. An actual position of the living being's eye at the point in time is sensed. The first relationship is used to ascertain a desired focus position of the lens based upon the actual position of the living being's eye at the point in time.