Abstract: A method of verifying compliance of a cross sectional imaging scan of a subject is provided, which includes determining one or more body volumes covered by the cross sectional imaging scan, and for each of the determined one or more body volumes, locating a presence of at least a portion of one or more internal organs of the subject encompassed in a corresponding determined volume, thereby verifying whether the cross sectional imaging scan is compliant with predetermined criteria. The predetermined criteria can be body coverage criteria for a scan of one or more body regions of the subject. Additionally, a method for verifying whether an image series of a cross sectional imaging scan is performed with contrast is provided.

Abstract: Described is a system for open doorway detection for autonomous robot exploration, the system includes an onboard range sensor that is operable for constructing a three-dimensional (3D) point cloud of a scene. One or more processors that receive the 3D point cloud from the range sensor. The 3D point cloud is then filtered and downsampled to remove cloud points outside of a predefined range and reduce a size of the point cloud and, in doing so, generate a filtered and downsampled 3D point cloud. Vertical planes are extracted from the filtered and downsampled 3D point cloud. Finally, open doorways are identified from each extracted vertical plane.

Abstract: In accordance with one aspect of the present technique, a method is disclosed. The method includes receiving a new video from one or more sensors and generating a new content graph (CG) based on the new video. The method also includes comparing the new CG with a plurality of prior CGs. The method further includes identifying a first portion of the new CG matching a portion of a first prior CG and a second portion of the new CG matching a portion of the second prior CG. The method further includes analyzing a first set of semantic annotations (SAs) associated with the portion of the first prior CG and a second set of SAs associated with the portion of the second prior CG. The method further includes generating a sequence of SAs for the new video based on the analysis of the first and the second set of SAs.

Abstract: A method for identifying a selected playing ball from a prescribed number of playing balls, wherein each of the playing balls is provided with a different symbol, wherein: a) the selected playing ball is moved from a starting position past an image recording unit pickup, b) the mass center of the depiction of the selected playing ball in the image is kept unaltered for a prescribed, c) the image position and size of the depiction of the playing ball is ascertained, and a check is performed to determine whether portions of the depiction of the playing ball are situated outside a lateral of the image, and d) if portions of the depiction of the playing ball are situated outside said lateral edge, the playing ball is returned to the pickup area of the image recording unit and/or is repositioned and steps b) to d) are repeated.

Abstract: Methods and apparatuses for generating a blur model of a detector, and methods and apparatus for generating a medical image are provided. A method of generating a blur model of a detector may involve: changing locations of linear gamma ray sources along at least one line and obtaining signals emitted from the linear gamma ray sources; obtaining a point spread function (PSF) with respect to at least one voxel included in the at least one line; and generating a blur model of the detector from the PSF.

Abstract: The invention proposes a method for determining a number (13) of transfer objects which are moving from a first subregion (8) of an observed region (5) into a second subregion (9) of the observed region (5), wherein a succession of images of the observed region (5) is recorded which identify objects (1; 2; 3; 4) and determine positions (1b, 1c; 2a, 2b, 2c; 3a, 3b, 3c; 4a, 4b) for the objects (1; 2; 3; 4), respectively, the objects (1; 2; 3; 4) are each associated either with the first subregion (8) or with the second subregion (9) on the basis of the positions (1b, 1c; 2a, 2b, 2c; 3a, 3b, 3c; 4a, 4b) of said objects, and multiple transfers of the same object between the first subregion (8) and the second subregion (9) are taken into account when determining the number (13) of transfer objects. The invention likewise proposes an appropriate system which can be used to carry out the method, said system comprising a sensor arrangement and a computation unit connected to the sensor arrangement.

Abstract: A method and system of vehicle classification, and more particularly to a method and system called hierarchical vehicle classification system using a video and/or video image, a method and system of vehicle classification using a vehicle ground clearance measurement system, and method and system for classification of passenger vehicles and measuring their properties, and more particularly to capturing a vehicle traveling along a road from a single camera and classifying the vehicle into a vehicle class.

Abstract: An information processing apparatus comprising that includes a reproduction unit to reproduce video content comprising a plurality of frames; a memory to store a table including object identification information identifying an object image, and frame identification information identifying a frame of the plurality of frames that includes the object image; and a processor to extract the frame including the object image from the video content and generate display data of a reduced image corresponding to the frame for display.

Abstract: An apparatus for detecting different subjects on the basis of vital signs includes an image detection unit for detecting radiation from a field of view and for providing image data from the field of view. A detection unit defines image sections in the image data and detects movement patterns in each of the different image sections. An identification unit identifies vital signs in the different image section on the basis of the movement pattern. An analysis unit analyzes the image data and detects the different subjects in the field of view on the basis of a spatial separation of the image sections or of groups of image sections in which the vital signs are identified.

Abstract: A method of analyzing a spinal region of a subject. The method includes steps of obtaining a first sagittal image of the spinal region of the subject using an upright magnetic resonance imaging unit; identifying a first vertebral edge on a first side of a first disc in the first sagittal image; identifying a second vertebral edge on a second side of the first disc in the first sagittal image; and determining a first angle between the first vertebral edge and the second vertebral edge for the first disc.

Abstract: Multi-view rasterization may be performed by calculating visibility over a camera line. Edge equations may be evaluated iteratively along a scanline. The edge equations may be evaluated using single instruction multiple data instruction sets.

Abstract: Methods and apparatuses for compressive sensing that enable efficient recovery of features in an input signal based on acquiring a few measurements corresponding to the input signal. One method of compressive sensing includes folding an image to generate first and second folds, and recovering a feature of the image based on the first and second folds without reconstructing the image. One example of a compressive sensing apparatus includes a lens, a focal plane array coupled to the lens and configured to generate first and second folds based on the image, and a decoder configured to receive the first and second folds and to recover a feature of the image without reconstructing the image. The feature may be a local geometric feature or a corner. Compressive sensing methods and apparatuses for determining translation and rotation between two images are also disclosed.

Abstract: A computer receives asynchronous information originating from a light sensor (10) having a pixel matrix disposed opposite a scene. The asynchronous information comprises, for each pixel of the matrix, successive events originating from this pixel and depending on variations in light in the scene. For a place of estimation (p) in the matrix of pixels and an estimation time (t), the computer selects a set (Sp t) of events originating from pixels included in a spatial neighborhood (??) of the place of estimation and which have occurred in a time interval (?) defined with respect to the estimation time, such that this set has at most one event per pixel of the spatial neighborhood. The computer quantifies the variations in the times of occurrence of the events of the set selected as a function of the positions, in the matrix, of the pixels from which these events originate.

Abstract: A system and method for the measurement of distances related to an object depicted in an image. One aspect includes delivery of supplemental materials for fenestration and for constructing insulating materials for fenestration. A digital image containing a primary object dimension and a reference object dimension in substantially the same plane undergoes digital image processing to provide improved measurement capability. Information regarding a primary object, including end user provided metadata related to the primary object and/or a reference object, is provided to an automated measurement process, design and manufacturing system to provide customized parts to end users. A digital image is obtained having an observable constraint dimension to which a customized part is to conform wherein the digital image contains a reference object having a reference dimension and a constraint dimension is calculated from the digital image based on a reference dimension.

Abstract: A method for controlling a vehicle lid of a vehicle includes the following steps: A user is identified in the vicinity of the lid; at least one image of the user is captured by a camera; the captured image is evaluated as to whether the lid needs to be opened; and if necessary, opening the lid.

Abstract: A method for verification of alarms is disclosed. The method involves receiving an alarm signal trigger associated with an alarm signal, receiving video data from a premise associated with the alarm signal, rapidly analyzing the video data to test for the existence a significant event, and when a significant event exists, sending a representation of a segment of interest of the video data, the segment of interest being associated with the significant event, to a user.

Abstract: Methods and systems are described for hair transplantation and other surgical procedures on a body surface. Specifically, methods and systems for computer-implemented and/or robotic hair transplantation and other surgical procedures, using time constrained image processing techniques are described. In various examples, multiple images of a body surface may be divided into overlapping sub regions for comparison. In various other cases, a percentage of an image of a body surface to be processed may be adjusted based on a time constraint. In some implementations, the output of one of these methods may be used as input for the other method.

Abstract: Image processing, creation and analysis techniques include using computer technology to identify a plurality of structures of interest in an image, such as spinal discs in a medical diagnostic image. Such techniques can also be used to improve image creation through the use of localizers which can help identify portions of an image, and the use of computer programs to combine multiple images into a single image for review.

Abstract: Provided are an apparatus and a method for processing a radiograph which is capable of precisely detecting a region of interest. The apparatus includes: an inputter that outputs an input image obtained by irradiating radioactive rays; and a line detector that performs a Hough transform on the input image, senses at least one edge line based on the Hough-transformed input image, performs a Radon transform in a region in which the at least one edge line is sensed, and obtains an edge line of the at least one edge line as a first collimation line one based on a result of the Radon transform.

Abstract: The coregistration of digital images of tissue slices is improved by updating landmarks based on the manual outlining of regions of interest on the images. A first image of a first slice is coarsely coregistered with a second image of a second slice using a first landmark on the first image and a second landmark on the second image. A user manually outlines a first region of interest on the first image. The outline is positioned over a second region of interest on the second image using the second landmark. The user manually moves a contour point of the outline on the second image to form a corrected outline. The second landmark is moved based on how the contour point was manually moved so that the first and second images are more finely coregistered after the second landmark is moved. Each state of corrected contour points and landmarks is saved.