Abstract: An image generating apparatus of the present invention has a determination unit that sets a target area in a part of an area inside a subject, executes processing to adjust a phase of each detection signal based on a distance from each detection element to a target area and a tentative velocity, and calculate dispersion of intensities of a plurality of detection signals of which phases are adjusted, for a plurality of tentative velocities, and determines a velocity for which dispersion of intensities is minimum, out of the plurality of tentative velocities, as a propagation velocity.

Abstract: A computer-implemented method for viewing images on an interactive computing device comprises displaying an image from a stack comprising a display image and at least one compressed sub-image of nominally the same scene, each of the sub-images of the stack having been acquired at respective focal distances. Responsive to a user selecting a portion of the displayed image, the selected portion is mapped to a corresponding mapped portion of a sub-image within the stack according to the difference in focal distances between the displayed image and the sub-image. At least one row of compressed image blocks of the at least one sub-image extending across the mapped portion; and a reference value for a point in the compressed image stream of the sub-image preceding the row of compressed image blocks is determined.

Abstract: Methods, systems, and storage media are described for detecting objects in image data are provided. In embodiments, a computing device may generate a plurality of blocks from a captured image. Each block may represent a corresponding region of the captured image. The computing device may extract a first feature from at least one block of the plurality of blocks; determine a second feature based at least on the first feature; and determine a third feature based on the second feature. The computing device may determine, as a matching image, a stored image from among a plurality of stored images including an object that has greatest maximum correlation with the third feature. Other embodiments may be described and/or claimed.

Abstract: A capacitive fingerprint sensing unit and enhanced capacitive fingerprint reader using the capacitive fingerprint sensing units are disclosed. The enhanced capacitive fingerprint reader includes a number of capacitive fingerprint sensing units, forming a fingerprint sensing array; a conductive element; and an excitation signal driver, for providing excitation signals to the conductive element. By increasing the thicknesses of a first inter-metal dielectric layer and a second inter-metal dielectric layer in fingerprint sensing units in the enhanced capacitive fingerprint reader, sensitivity of the enhanced capacitive fingerprint reader can be improved.

Abstract: This invention describes methods and systems for the automated facial landmark localization. Our approach proceeds from sparse to dense landmarking steps using a set of models to best account for the shape and texture variation manifested by facial landmarks across pose and expression. We also describe the use of an l1-regularized least squares approach that we incorporate into our shape model, which is an improvement over the shape model used by several prior Active Shape Model (ASM) based facial landmark localization algorithms.

Abstract: A method for localizing the attention of a user of a first-person point-of-view (FPPOV) device is disclosed. The method includes receiving data from an FPPOV device, the data being indicative of a first region-of-interest (ROI) of an event for a first time duration and a second ROI of the event for a second time duration. The method further include determining that a first camera from a plurality of cameras best captures the first ROI during the first time duration, and determining that a second camera from the plurality of cameras best captures the second ROI during the second time duration.

Abstract: Aspects of the disclosure generally relate to automation and may be generally directed to devices, systems, methods, and/or applications for automating devices and/or systems.

Abstract: An image processing apparatus obtains a three-dimensional radiation image of a right region of substantially symmetrical regions, obtains a three-dimensional radiation image of a left region of the substantially symmetrical regions, performs alignment between the three-dimensional radiation image of the right region and the three-dimensional radiation image of the left region based on a feature position of the regions, and substantially symmetrically arranges and displays the three-dimensional radiation image of the right region and the three-dimensional radiation image of the left region which have been aligned.

Abstract: Various aspects of an image processing system and method for object boundary smoothening for image segmentation, includes receipt of a user input to enable selection of a foreground object in an input color image. A frequency of occurrence of foreground pixels with respect to background pixels is determined for a plurality of pixels within a local pixel analysis window. The local pixel analysis window is positioned in a first region of the input color image to encompass at least a first pixel to be validated for a correct mask value. A first cost value and a second cost value is selected for the first pixel based on the determined frequency of occurrence of the foreground pixels. An object boundary is generated for a portion of the foreground object based on the selected first cost value and the second cost value for the first pixel.

Abstract: A bio marker detection device and a method for detecting or generating a bio marker from a plurality of strip sensors are provided. The bio marker detection device includes a close-up lens for detecting an image for the plurality of strip sensors, a transparent frame surrounding the close-up lens to evenly pass light from an outside to the plurality of strip sensors, and a strip sensor holder inlet configured for combining the plurality of strip sensors with the bio marker detection device. The method includes detecting a plurality of bio markers from a plurality of sensors, generating user health information based on the detected plurality of detected bio markers, and displaying the generated user health information.

Abstract: A method includes obtaining a single training image from a set of training images in a data repository. The method further includes generating an initial tissue class atlas based on the obtained single training image. The initial tissue class atlas includes two or more different tissue class images corresponding to two or more different tissue classes. The method further includes registering the remaining training images of the set of training images to the initial tissue class atlas. The method further includes generating a quality metric for each of the registered images. The method further includes evaluating the quality metric of each of the registered image with a predetermined evaluation criterion. The method further includes identifying a sub-set of images from the set of training images that satisfy the evaluation criterion. The method further includes generating a subsequent tissue class atlas based on the identified sub-set of the set of training images.

Abstract: The present invention provides a method and device for detecting the presence of logo patterns in product images. The method comprises the steps of retrieving one or more logo patterns from a logo pattern library, each of the one or more logo patterns identifying a respective product brand; retrieving a product image; calculating for each of the one or more logo patterns, a matching degree, the matching degree representing a degree to which each logo pattern is present in the product image; selecting as a selected logo pattern, the logo pattern having the greatest calculated matching degree; and determining that the product image includes the selected logo pattern if the matching degree of the selected logo pattern is greater than a first threshold.

Abstract: A system includes a robotic arm, an imaging device coupled to the robotic arm, a tail positioner coupled to the robotic arm, and a processor. The imaging device captures imaging data of a rearview of a dairy livestock through a field of view of the imaging device. The tail positioner is able to move from a down position to an up position. The processor is coupled to both the imaging device and the tail positioner and is configured to identify a tail of the dairy livestock within the imaging data captured by the imaging device and send one or more instructions to raise the tail positioner from the down position to the up position, thereby moving the tail out of the field of view of the imaging device.

Abstract: The present invention discloses methods and apparatus for increasing inspection efficiency and reducing time for analyzing an image when inspecting contamination and alignment of the welding tip of the spot welding gun. An apparatus for inspecting a welding tip according to some embodiments of the present invention is configured to inspect the contamination and the alignment of the welding tip based on an end-surface image and a profile image of the welding tip. In particular, when recording the welding tip through an internal housing arranged in an internal space of an external housing, the noise generated from an external light source can be blocked, and hence the contamination and the alignment of the welding tip can be inspected by using a clearer image, thus improving the accuracy of the inspection.

Abstract: A method for detecting changes in geospatial imagery. An imaging device is operated to take two images of a single location. The two images are received at processor, which normalizes the visible band and near infrared band of the two images. The two images are registered. Corresponding pixels of the two images are divided into a first group with slope and a second group without slope. Slope groupings are compared to determine which corresponding pixels have a probability of change greater than a predetermined threshold. Vector polygons are created based on the comparing slope groupings, to indicate areas of change in the two images. The areas of change in the two images are displayed on a display device.

Abstract: Methods, systems, and computer-readable storage mediums for detecting facial liveliness are provided. Implementations include actions of processing a facial image of a subject to determine a corneal reflection of an illuminator adjacent to the subject, the facial image being captured at a time point, determining an expected corneal reflection of the illuminator based on an illumination of the illuminator at the time point, comparing the determined corneal reflection of the illuminator to the expected corneal reflection of the illuminator to obtain a comparison result, and determining facial liveliness of the subject based on the comparison result.

Abstract: Method and device adapted for the processing of lightfield data representative of a scene, said lightfield data comprising a plurality of elements, 4-dimensional coordinates being associated with each element. Following operations are performed: associating a ray with each element, the ray being obtained from the 4-dimensional coordinates associated with each element; determining a depth information for each element; determining an origin of each ray in the scene according to the depth information; grouping rays having a same origin in the scene to form a plurality of groups; processing the lightfield data according to the plurality of groups.

Abstract: Methods, apparatus, and other embodiments associated with classifying a region of tissue represented in a digitized whole slide image (WSI) using iterative gradient-based quasi-Monte Carlo (QMC) sampling. One example apparatus includes an image acquisition circuit that acquires a WSI of a region of tissue demonstrating cancerous pathology, an adaptive sampling circuit that selects a subset of tiles from the WSI using an iterative QMC Sobol sequence sampling approach, an invasiveness circuit that determines a probability of a presence of invasive pathology in a member of the subset of tiles, a probability map circuit that generates an invasiveness probability map based on the probability, a probability gradient circuit that generates a gradient image based on the invasiveness probability map, and a classification circuit that classifies the region of tissue based on the probability map. A prognosis or treatment plan may be provided based on the classification of the WSI.

Abstract: To enable better sharing and preservation of immersive experiences, a graphics system reconstructs a three-dimensional scene from a set of images of the scene taken from different vantage points. The system processes each image to extract depth information therefrom and then stitches the images (both color and depth information) into a multi-layered panorama that includes at least front and back surface layers. The front and back surface layers are then merged to remove redundancies and create connections between neighboring pixels that are likely to represent the same object, while removing connections between neighboring pixels that are not. The resulting layered panorama with depth information can be rendered using a virtual reality (VR) system, a mobile device, or other computing and display platforms using standard rendering techniques, to enable three-dimensional viewing of the scene.

Abstract: Systems and methods to generate maps or models of structures are disclosed. Features of the structure to be mapped may be determined for the purposes of generating the map or model based at least in part on images associated with the structure, sensor measurements associated with the structure, and phase data of communications signals that interact with the structure. The mapping or modeling processes may be performed at a mapping server that receives images, sensor data, and/or communications signal phase information from one or more user devices, such as mobile devices. The mapping servers may perform a simultaneous localization and mapping (SLAM) process and may enhance the generated maps using sensor and/or communications phase data to map one or more hidden features of the structure.