Abstract: Embodiments of a computer-implemented method for training a convolutional neural network (CNN) that is pre-trained using a set of color images are disclosed. The method comprises receiving a training dataset including multiple multidimensional images, each multidimensional image including a color image and a depth image; performing a fine-tuning of the pre-trained CNN using the depth image for each of the plurality of multidimensional images; obtaining a depth CNN based on the pre-trained CNN, wherein the depth CNN is associated with a first set of parameters; replicating the depth CNN to obtain a duplicate depth CNN being initialized with the first set of parameters; and obtaining a depth-enhanced color CNN based on the duplicate depth CNN being fine-tuned using the color image for each of the plurality of multidimensional images, wherein the depth-enhanced color CNN is associated with a second set of parameters.

Abstract: Abstract A method comprising: providing a first three-dimensional (3D) point cloud obtained according to a first sensing technique, a second 3D point cloud obtained according to a second sensing technique and a first radius of a sphere covering a real object underlying the second first 3D point cloud and a second radius of a sphere covering a real object underlying the second 3D point cloud; defining scales of the first 3D point cloud and the second 3D point cloud based on said first radius and second radius; searching statistically substantially similar candidate regions between the first 3D point cloud and the second 3D point cloud using an ensemble shape function (ESF); aligning the statistically substantially similar candidate regions between the first 3D point cloud and the second 3D point cloud at least in vertical direction; and ranking the aligned candidate regions between the 3D point clouds based on their structural similarity.

Abstract: A system for pothole detection comprises an input interface configured to receive sensor data and a pothole detector configured to determine a pothole based at least in part on the sensor data; and store pothole data associated with the pothole, wherein the pothole data comprises a pothole video.

Abstract: A collation apparatus that collates an input image with registered images includes: a feature extracting unit extracting feature quantities from a region of an object in the input image; a calculating unit calculating, per each of the feature quantities, similarity degrees between the feature quantities extracted from the input image and corresponding feature quantities of the registered image, for each of the registered images; an integrating unit integrating, using a parameter, the similarity degrees for the feature quantities; an estimation unit estimating as to whether or not the object in the input image is identical with an object in each of the registered images; and a parameter learning unit learning the parameters to be used by the integrating unit, based on an estimation result of the estimation unit and the similarity degree integrated by the integrating unit.

Abstract: A method of aligning at least two breast images includes aligning a relevant image part in each of the images, the relevant image parts being obtained on the basis of the result of a shape analysis procedure performed on the breast images.

Abstract: A method of detecting objects in three-dimensional (3D) point clouds and detecting differences between 3D point clouds and the objects therein is disclosed. A method includes receiving a first scene 3D point cloud and a second scene 3D point cloud, wherein the first scene 3D point cloud and the second scene 3D point cloud include first and second target objects, respectively; aligning the first scene 3D point cloud and the second scene 3D point cloud; detecting the first and second target objects from the first scene 3D point cloud and the second scene 3D point cloud, respectively; comparing the detected first target object with the detected second target object; and identifying, based on the comparison, one or more differences between the detected first target object and the detected second target object. Further aspects relate to detecting changes of target objects within scenes of multiple 3D point clouds.

Abstract: A tomography apparatus includes an image processor configured to reconstruct a tomography image by using pieces of image data that are acquired during partial periods included in a heartbeat period; and a display configured to display a screen image, which includes information representing the heartbeat period, and the reconstructed tomography image, and on which the partial periods and image sections corresponding to the partial periods are displayed in association with each other.

Abstract: A method of operating an electronic device is provided. The method includes acquiring an image including one or more objects, detecting distances between the one or more objects and the electronic device, determining a display methods to display information related to the one or more objects based on the distances, and displaying the information related to the one or more objects based on the determined display method.

Abstract: A method for defining a region of interest in a radiation image of a breast based on the result of shape analysis applied to a skin line estimate determined in the radiation image.

Abstract: A method for tracking weather cells from a moving platform includes receiving, from a detection and ranging system, reflectivity data sampled for a volume of space and generating a feature map based on the reflectivity data, wherein the feature map is a representation of the volume of space that indicates locations with significant weather and generating a first segmented feature map based on the feature map that identifies the location and spatial extent of individual weather cells. The method further includes translating the first segmented feature map and a second segmented feature map, generated from data collected at a different point in time and/or space, to a common frame of reference and comparing the first segmented feature map to the second segmented feature map. The method further includes creating one or more track hypotheses based on the comparison of the first segmented feature map and the second segmented feature map.

Abstract: A method and device for capturing a positionally corrected image of a document is disclosed. The method comprises the steps of: obtaining a two-dimensional image of the document with a mobile terminal apparatus; performing edge detection within the two-dimensional image to identify edges of the document; determining angles between detected edges; calculating, based on the detected edges and the angles determined, a three-dimensional position of the document relative to a position of the mobile terminal apparatus; calculating correction information to correct, by relative movement, the position of the document relative to the position of the mobile terminal apparatus; providing first guidance information derived from the correction information to a user of the mobile terminal apparatus, guiding the user to perform the relative movement; and capturing a positionally corrected image of the document. Thereby, the document can be captured with a quality sufficient to permit Optical Character Recognition (OCR).

Abstract: A method of automatically detecting tissue abnormalities in images of a region of interest of a subject includes obtaining first image data for the region of interest of the subject, normalizing the first image data based on statistical parameters derived from at least a portion of the first image data to provide first normalized image data, obtaining second image data for the region of interest of the subject, normalizing the second image data based on statistical parameters derived from at least a portion of the second image data to provide second normalized image data, processing the first and second normalized image data to provide resultant image data, and generating a probability map for the region of interest based on the resultant image data and a predefined statistical model. The probability map indicates the probability of at least a portion of an abnormality being present at locations within the region of interest.

Abstract: According to one embodiment, an inspection apparatus includes an optical system portion on which a plurality of reflected light rays corresponding to a plurality of observation directions with respect to an optical variable image device are incident and which images the plurality of reflected light rays incident thereon, an imaging portion that images the plurality of reflected light rays imaged by the optical system portion and thereby generates reflected light images corresponding the plurality of respective observation directions, an object relation determination portion that determines whether or not there is a predetermined geometric difference between objects that are contained in reflected light images imaged by the imaging portion and corresponding to different observation directions, and an authenticity determination portion that determines authenticity of the optical variable image device based on a result of the determination by the object relation determination portion.

Abstract: A method for represents the surroundings of a vehicle with at least two levels of resolution in a surroundings model, preferably for a vehicle having a sensor system for monitoring the surroundings and at least one driver assistance system. The surroundings model preferably represents a probability grid having a plurality of grid cells. Data from at least two grid cells at a higher level of resolution are combined and stored in a grid cell at a lower level of resolution.

Abstract: A method of authenticating a candidate fingerprint by means of an electronic device comprising a touch sensor; and a fingerprint sensor. The method comprises the steps of: acquiring at least one touch sensor signal indicative of a sub-area of the touch sensor being touched by the candidate finger; acquiring at least one fingerprint image of the candidate fingerprint; retrieving a stored enrollment representation of the enrolled fingerprint of the enrolled finger; determining an authentication representation of the candidate fingerprint based on the fingerprint image; and determining an authentication result based on the authentication representation, the stored enrollment representation, and the at least one touch sensor signal.

Abstract: A method and apparatus for processing digital images are provided. The method includes: recognizing faces from a plurality of images of a jumping subject; determining respective priorities for the plurality of images of the jumping subject, wherein an index of the priorities is based on face recognition information; and aligning the plurality of images of the jumping subject based on the priorities.

Abstract: An apparatus and a computer-implemented method of acquiring a fingerprint image from a fingerprint sensor with an array of sensor elements spanning a sensing area, comprising: monitoring groups of sensor elements located at group-wise spaced apart positions in the array of sensor elements, to determine a touch event occurring on the array of sensor elements; from the array of sensor elements, acquiring, at respective points in time, fingerprint sub-images which are confined in size to a subarea of the sensing area; as the fingerprint sub-images are acquired, computing values of a statistical indicator for the fingerprint sub-images; and acquiring a full fingerprint image when a predefined criterion indicates that the values of the statistical indicator has reached or is about to reach a stable state.

Abstract: Methods and systems for enrolling biometric data that is easier to use and provides a more positive end user experience. Additionally, machine readable medium storing instructions configurable to achieve the results when executed by a computing device are also provided.

Abstract: An image reconstruction apparatus and related method. The amount of out-field-of view material for a CT scanner (IMA) with a given field of view (FoV) in a bore (B) is established. Based on the measurement, a hybrid-image reconstructor (RECONX) is configured to switch between different reconstruction algorithms.

Abstract: According to an example method implemented by an imaging device, an image is recorded of a subject to which a wearable computing device is secured. Responsive to the recording, the imaging device wirelessly receives data from the wearable computing device. The data includes an identifier of the wearable computing device and biometric data of the subject. The identifier and biometric data are embedded as metadata in the recorded image.