Abstract: The APPARATUSES, METHODS AND SYSTEMS FOR A VIDEO REMOTE DEPOSIT CAPTURE PLATFORM (hereinafter “RDC-Video”) provides a platform for remote deposit by obtaining images of a check from streaming video captured by a video camera, wherein the RDC-Video transforms captured check images and/or entered check deposit information inputs via RDC-Video components into deposit confirmation outputs. For example, in one embodiment, a user may employ a personal computer connected to a web camera, and/or a smartphone with a built-in camera to initiate the remote deposit by holding a check in front of the camera, and the RDC-Video may capture images of the check and send them to a financial institution for deposit processing.

Abstract: Disclosed is an apparatus for computed tomography (CT) image data reconstruction based on motion compensation. The apparatus for computed tomography (CT) data reconstruction based on motion compensation, the apparatus including a storage configured to store projection radiographs and an image processor configured to obtain pairs of opposite projection radiographs from the projection radiographs, and compensate a movement of a radiography subject based on a correlation between the projection radiographs of each pair of opposite projection radiographs.

Abstract: An object recognition apparatus includes an image capturing unit, a storage unit that stores feature data of a plurality of reference objects, a display unit, and a processor. The processor calculates degrees of similarity between an object in the captured image and a plurality of reference objects, based on the feature data of the reference objects, selects some of the reference objects as candidates objects based on the calculated degrees of similarity, and controls the display unit to display the candidate objects and a message to select one of the candidate objects. If no candidate object is selected within a predetermined time after the candidate objects and the message have been displayed, and thereafter a new image is captured by the image capturing unit, the processor removes the message and calculates degrees of similarity between an object in the newly captured image and the plurality of reference objects.

Abstract: A method of providing an accurate three-dimensional scan of a dental arch area is disclosed. The arch area has two segments and a connecting area between the two segments. The connecting area has homogeneous features. A connecting-geometry tool with at least one definable feature is affixed to the arch area. The definable feature overlays at least part of the connecting area. The arch area is scanned to produce a scanned dataset of the arch area. The definable feature of the connecting-geometry tool on the connection area is determined based on the scanned dataset. The dimensions of the arch area are determined based on the data relating to the definable features from the scanned dataset.

Abstract: An image processing method of highly accurately correcting an optical degradation of an image pickup apparatus while also suppressing adverse effects is provided. The image processing method includes a step of obtaining a partial area of an input image shot by using an image pickup apparatus, a step of obtaining previously learnt correction information varying in accordance with a position of the partial area, and a correction step of generating a corrected partial area in which an optical degradation of the partial area caused by the image pickup apparatus is corrected by using the partial area and the correction information.

Abstract: An imaging processing device includes an image acquisition unit, a character region estimation unit, and an output unit. The character region estimation unit determines a line indicating a direction in which characters are arranged with high probability in the acquired image and estimates a character region candidate in which characters are arranged with high probability. The output unit outputs information of the region estimated in the character region estimation unit. The character region estimation unit includes a vertical line detector, a horizontal line detector, a color distribution detector, and a character region candidate line determination unit. The image processing device includes an association imaging mode to cause a user to shoot an image of the character region candidate.

Abstract: Face recognition of a face, to determine whether the face correlates with an enrolled face, may include generating a personalized three-dimensional (3D) face model based on a two-dimensional (2D) input image of the face, acquiring 3D shape information and a normalized 2D input image of the face based on the personalized 3D face model, generating feature information based on the 3D shape information and pixel color values of the normalized 2D input image, and comparing the feature information with feature information associated with the enrolled face. The feature information may include first and second feature information generated based on applying first and second deep neural network models to the pixel color values of the normalized 2D input image and the 3D shape information, respectively. The personalized 3D face model may be generated based on transforming a generic 3D face model based on landmarks detected in the 2D input image.

Abstract: A data processing method for determining the position of a target, comprising the steps performed by a computer: a) acquiring a target movement model specifying a movement cycle of the target; b) acquiring a target position signal representing a view of the target from a single direction and/or provided by a single imager; c) determining, based on the acquired target position signal and the target movement model, the position of the target.

Abstract: A document source identification system includes one or more memory devices storing instructions, and one or more processors configured to execute the instructions to cause the system to receive uploaded document(s) having at least one extractable data entry. The system may categorize the document, and extract at least one data entry from the document. The system may normalize each extracted data entry and execute a deterministic ID search to determine that the normalized data entry matches zero, one, or more than one account data entries associated with user accounts. Responsive to an exact match, the system may link the uploaded document to a user account associated with the matching data entry. Responsive to zero or multiple matches, the system may execute a probabilistic ID search identifying a highest ranked user account data entry and link the document to a user account associated with the highest ranked user account data entry.

Abstract: A system and method are provided for brain tissue classification, which involves applying an automated tissue classification technique to an image of a brain based on a prior probability map, thereby obtaining a tissue classification map of the brain. A user is enabled to, using a user interaction subsystem, provide user feedback which is indicative of a) an area of misclassification in the tissue classification map and b) a correction of the misclassification. The prior probability map is then adjusted based on the user feedback to obtain an adjusted prior probability map, and the automated tissue classification technique is re-applied to the image based on the adjusted prior probability map. An advantage over a direct correction of the tissue classification map may be that the user does not need to indicate the area of misclassification or the correction of the misclassification with a highest degree of accuracy. Rather, it may suffice to provide an approximate indication thereof.

Abstract: A method of evaluating a surgical margin of tumor tissues of a living subject includes acquiring images of a specimen of the tumor tissues; calculating a three-dimensional (3D) morphological surface of the specimen from the acquired images and displaying the 3D morphological surface; obtaining, from the 3D morphological surface, a plurality of specimen locations to cover a surface of the specimen; acquiring optical data at each specimen location; evaluating a margin status of the specimen at each specimen location to either positive or negative based on the acquired optical data; and displaying the margin status of the specimen on the 3D morphological surface of the specimen with morphological orientations.

Abstract: Embodiments of the present invention provide systems and methods for image correlation and distribution. The method includes receiving an image depicting at least one person, metadata for the image, contact data, facial recognition data, and location data. The method further includes analyzing the image and other data, and determining the identity of people in the image based on the facial recognition data and the location data.

Abstract: Some embodiments are directed to an image director of a patient monitoring system to obtain calibration images of a calibration sheet or other calibration object at various orientations and locations. The images are then stored and processed to calculate camera parameters defining the location and orientation of the image detector and identifying internal characteristics of the image detector, and the information are stored. The patient monitoring system can be re-calibrated by using the image detector to obtain an additional image of a calibration sheet or calibration object. The additional image and the stored camera parameters are then used to detect any apparent change in the internal characteristics of the image detector (10) (S6-4).

Abstract: The present disclosure relates generally digital watermarking and data hiding techniques. One claim recites a method comprising: obtaining data representing imagery; using one or more configured processors, transforming the data into a multi-channel color space; obtaining information indicating an impact of adding a color channel encoded signal to a color direction of the data; determining a color space direction for encoded signal detection; obtaining weighting factors based on the information indicating an impact of adding a color channel encoded signal; weighting the color channel encoded signal with weighting factors to yield a modified color channel encoded signal; using one or more configured processors, embedding the modified color channel encoded signal in the data representing imagery. Of course, other claims and combinations are provided as well.

Abstract: A method for generating attenuation map is disclosed. The method includes acquiring an anatomic image and PET data indicative of a subject, wherein the anatomic image comprises a plurality of voxels. The method also includes fetching a reference image to register the anatomic image, the reference image includes voxel segmentation information. The method further includes segmenting the anatomic image into a plurality of regions based on the voxel segmentation information. The method further includes generating a first attenuation map corresponding to the anatomic image by assigning attenuation coefficients to the plurality of regions. The method further includes calculating a registration accuracy between the anatomic image and the reference image. The method further includes determining a probability distribution of attenuation coefficient.

Abstract: A system includes a database and a representation engine. The database stores point cloud data including an indication of elevation of terrain. The representation engine is configured to determine a plurality of regions associated with the point cloud data. The representation engine is configured to identify, for each of the plurality of regions, a first point cloud data point having an elevation that is a local maximum for the corresponding region. The representation engine is configured to calculate, for a plurality of viewpoints corresponding to the point cloud data, a series of vectors connecting first point cloud data points located within a distance threshold of a search distance from each viewpoint. The representation engine is configured to output a terrain database storing the plurality of viewpoints associated with the corresponding series of vectors.

Abstract: According to an embodiment, a people search system includes a receiver, a detector, a search unit, and a display. The search unit obtains features of a first face image and a second face image of a predetermined person and searches for the predetermined person based on a similarity between the features of the first and the second face images when an inhibiting factor is not detected, and generates a third face image that is a composite image of the second face image and the inhibiting factor, obtains features of the first and the third face images, and searches for the predetermined person based on a similarity between the features of the first and the third face images when the inhibiting factor is detected. The display displays the search result of the predetermined person obtained by the search unit.

Abstract: An image processing system (IPS) and related method to transform different multi-modal or multi-contrast input images (u,v) into respective transformed images (U,V). The transformation may proceed iteratively to improve a regularized objective function. The regularization is via a regularizer function (R). The regularizer function (R) is computed from noise normalized gradients of the two or more transformed images (u,v).

Abstract: A system detects a candidate for an object which intrudes based on images of a visible light camera and a far-infrared camera that monitor the sea, further derives a size, a velocity, an intrusion direction, and linearity, and identifies the object to some extent. Also, the system distinguishes between a boat, a human, and a floating matter based on the luminances or the like in a far-infrared image. In addition, the system observes the periodicity of normal waves on the sea surface at a location without any object by performing the Fourier transform on the image. The accuracy of identification of an object is improved based on the correlation between the motion of waves in a normal state and the motion of the object.

Abstract: A microscopic image recognition system for detecting a protein-based molecule by presenting a recognition image is provided. The protein-based molecule has a state of a monomer. The microscopic image recognition system includes an image capturing unit, a monomer tracking module and a texture mask. The image capturing unit is configured to capture an original image of the protein-based molecule. The monomer tracking module is configured to capture a monomer image from the original image based on a predetermined size and a predetermined brightness. The predetermined size and the predetermined brightness correspond to the monomer. The texture mask is configured to perform a two-dimensional masking process on the monomer image to form at least two texture images. The recognition image is formed by superimposing the at least two texture images. A microscopic image recognition method is also provided.