Abstract: A method for identifying an object in a piece of image information representing a scene in a detection range of a camera during a situation includes: a step of reading in; a step of selecting; and a step of searching. In the step of reading in, the piece of image information and at least one parameter representing the situation are read in. In the step of selecting, a feature combination of an object class of the object, which is predictably identifiable in the situation, is selected using the parameter. In the step of searching, the feature combination is searched for in the piece of image information to identify the object.

Abstract: An information processing apparatus including a memory storing instructions, and at least one processor configured to process the instructions to obtain an orientation, size, and position of a first subject in a first image, and an orientation, size, and position of a second subject in a second image, generate an estimated position of the first subject in the second image based on the orientation, size, and position of the first subject in the first image and the orientation and size of the second subject in the second image, calculate a distance between the estimated position of the first subject in the second image and the position of the second subject in the second image; and determine whether or not the first subject is the second subject based on the distance.

Abstract: A lesion determination apparatus includes: a number-of-images acquiring unit configured to acquire and record, on occurrence of a direction change that is either a first state in which a second operation instruction is received immediately after receipt of a first operation instruction or a second state in which the first operation instruction is received immediately after a receipt of the second operation instruction, a number of one-directionally viewed images that is either a number of tomography images continuously viewed in response to continuous first operation instructions including the first operation instruction in the first state or a number of tomography images continuously viewed in response to continuous second operation instructions including the second operation instruction in the second state; and a locality determining unit configured to determine whether the object part is a focal lesion or a diffuse lesion based on a change in the number of one-directionally viewed images.

Abstract: [Object] To improve work efficiency with respect to work using a transparent object, such as a transparent operation tool, for example. [Solution] An image region where an object exists as a target region is detected on the basis of a second captured image, when a first captured image is a captured image obtained by selectively receiving a light of a first wavelength band, and the second captured image is a captured image obtained by selectively receiving a light of a second wavelength band, the captured images being obtained by capturing the object that is transparent for the light of the first wavelength band and is opaque for the light of the second wavelength band. Subsequently, an outline of the object is superimposed on the first captured image on the basis of information of the target region detected by the target detecting unit.

Abstract: A system (100) and method is provided for performing a model-based segmentation of an anatomical structure in a medical image of a patient. The medical image (022) is accessed. Moreover, model data (162) is provided which defines a deformable model for segmenting the type of anatomical structure. The model-based segmentation of the anatomical structure is performed by adapting the deformable model to the anatomical structure in the medical image using an adaptation technique.

Abstract: There is provided an image processing apparatus for reconstructing a tomographic image of a subject based on a plurality of projection images obtained by detecting radiation emitted from a plurality of different positions. The image processing apparatus reconstructs a first tomographic image from the plurality of projection images, extracts a fixed pattern occurring in the first tomographic image due to a radiation detector, and forms a second tomographic image by updating the first tomographic image using a value concerning intensity of the fixed pattern as a regularization term. The image processing apparatus outputs, as the tomographic image of the subject, the second tomographic image obtained by the update.

Abstract: A method of assessing the identity of a person by one or more of: internal non-visible anatomical structure of an eye represented by the Oculomotor Plant Characteristics (OPC), brain performance represented by the Complex Eye Movement patterns (CEM), iris patterns, and periocular information. In some embodiments, a method of making a biometric assessment includes measuring eye movement of a subject, making an assessment of whether the subject is alive based on the measured eye movement, and assessing a person's identity based at least in part on the assessment of whether the subject is alive. In some embodiments, a method of making a biometric assessment includes measuring eye movement of a subject, assessing characteristics from the measured eye movement, and assessing a state of the subject based on the assessed characteristics.

Abstract: An information processing apparatus includes a storage unit, an image capturing unit, and a processing unit. The storage unit stores a plurality of feature values to be used for object recognition and an update program for the feature values, with respect to each of products registered for sale. The image capturing unit is configured to acquire an image of a product registered for sale. The processing unit is configured to extract a feature value of the product from the acquired image, select one of the plurality of the feature values corresponding to the product as a replacement target, by executing the update program corresponding to the product, and replace the selected feature value with the extracted feature value.

Abstract: The motion of image content such as a point of interest in a video frames sequence is tracked using sub-pixel resolution motion estimation in forward and/or backward direction. The motion of image content or a point of interest between a reference frame and a following frame is estimated, starting from an integer pixel position in the reference frame. If the motion vector has a position between integer pixel positions, the coordinates of that motion vector are replaced by an adjacent integer pixel position in the following or previous frame, and the error value between these coordinates and the replacement coordinates is stored. Thereafter the following or previous frame is defined as the current frame, the motion of the object is estimated between the replacement coordinates in the current frame and a following frame, and the stored error value is added in opposite direction to the corresponding motion vector, so as to get a corresponding precise motion vector.

Abstract: A system and method of imaging tissue includes administering a contrast agent having charged gold nanoparticles in suspension into a vessel of the subject, such that the nanoparticles are carried into the tissue; and performing microwave imaging of the tissue after administering the contrast agent. In embodiments, the nanoparticles have a tissue-selective protein tag. In embodiments, images are taken prior to administering the contrast agent, and further images may be taken during an agent—washout period after imaging with contrast agent. The contrast agent is injectable, with the nanoparticles suspended as a colloid in a biocompatible, isotonic, carrier. In particular embodiments, the nanoparticles have median diameter of less than fifty nanometers, or less than five nanometers, and may have a tissue-selective protein tag. A microwave imaging system has injection apparatus with the gold-nanoparticle agent, and is configured to take, and difference, pre and post contrast images as well as washout images.

Abstract: A self-position calculating apparatus includes: a light projector configured to project a patterned light beam onto a road surface around a vehicle; an image capturing unit configured to capture and obtain an image of the road surface around the vehicle covering an area of the projected patterned light beam; an orientation angle calculator configured to calculate an orientation angle of the vehicle relative to the road surface from; a feature point detector configured to detect multiple feature points on the road surface; an orientation change amount calculator configured to calculate an amount of change in the orientation of the vehicle; and a self-position calculator configured to calculate a current position and a current orientation angle of the vehicle. The light projector selectively projects the patterned light beam onto a specific patterned light beam-projected region out of the multiple patterned light beam-projected regions.

Abstract: A method and a system computationally performs scene analysis of semantic traffic spaces based on an adaptive spatio-temporal ray-based approach. The method includes acquiring a spatial semantic environment map including semantic context data, calculating at least one feature for at least one location on the spatial environment map taking into account the semantic context of the location and determining a category for the at least one location based on the at least one calculated feature. A feature is a ray based feature calculated by integrating input values along at least one ray extending in least one of a space dimension and a time dimension. The ray may have a ray shape corresponding to a general shape of a road and/or the at least one spatially extending ray follows a course of the road and/or is perpendicular to a surrounding road segment orientation.

Abstract: A tomography imaging apparatus is provided, including: a data acquisition unit configured to acquire a plurality of partial data respectively corresponding to a plurality of consecutive angular sections by performing a tomography scan on a moving object; and an image processing unit configured to measure global motion of the object and motion of a first region in the object based on the plurality of partial data, acquire first information representing motion of the object by reflecting the global motion in the motion of the first region, and reconstruct a final tomography image representing the object based on the first information.

Abstract: A method and apparatus for vascular disease detection and characterization using a recurrent neural network (RNN) is disclosed. A plurality of 2D cross-section image patches are extracted from a 3D computed tomography angiography (CTA) image, each extracted at a respective sampling point along a vessel centerline of a vessel of interest in the 3D CTA image. Vascular abnormalities in the vessel of interest are detected and characterized by classifying each of the sampling points along the vessel centerline based on the plurality of 2D cross-section image patches using a trained RNN.

Abstract: Digital pathology is the concept of capturing digital images from glass microscope slides in order to record, visualize, analyze, manage, report, share and diagnose pathology specimens. The present disclosure is directed to a desktop slide scanner, which enables pathologists to scan slides at a touch of a button. Included is a workflow for reliable imaging, diagnosis, quantification, management, and sharing of a digital pathology library. Also disclosed herein is an analysis framework that provides for pattern recognition of biological samples represented as digital images to automatically quantitatively score normal cell parameters against disease state parameters. The framework provides a pathologist with an opportunity to see what the algorithm is scoring, and simply agree, or edit the result. This framework offers a new tool to enhance the precision of the current standard of care.

Abstract: The technology of the present disclosure includes computer-implemented methods, computer program products, and systems to filter images before transmitting to a system for optical character recognition (“OCR”). A user computing device obtains a first image of the card from the digital scan of a physical card and analyzes features of the first image, the analysis being sufficient to determine if the first image is likely to be usable by an OCR algorithm. If the user computing device determines that the first image is likely to be usable, then the first image is transmitted to an OCR system associated with the OCR algorithm. Upon a determination that the first image is unlikely to be usable, a second image of the card from the digital scan of the physical card is analyzed. The optical character recognition system performs an optical character recognition algorithm on the filtered card.

Abstract: Systems, methods, and non-transitory computer-readable media can identify a set of regions corresponding to a geographical area. A collection of training images can be acquired. Each training image in the collection can be associated with one or more respective recognized objects and with a respective region in the set of regions. Histogram metrics for a plurality of object categories within each region in the set of regions can be determined based at least in part on the collection of training images. A neural network can be developed based at least in part on the histogram metrics for the plurality of object categories within each region in the set of regions and on the collection of training images.

Abstract: A microprocessor is operably coupled to a camera from which patient vital signs are determined and a digital infrared sensor. A temporal variation of images from the camera is generated and amplified from which the patient vital signs, such as heart rate or respiratory rate, can be determined and displayed or stored and temperature is determined from digital infrared sensor.

Abstract: A method for watermarking a three-dimensional object is disclosed. The watermarking method comprises computing shape descriptor of a local neighborhood of a current vertex among the plurality of vertices of the three-dimensional object; obtaining a target shape descriptor from the shape descriptor using a quantization grid associated with a watermark payload; and modifying said local neighborhood wherein a position of at least one vertex of said local neighborhood is modified such that a shape descriptor of said modified local neighborhood is close to said target shape descriptor and wherein said current vertex is not modified. A method for obtaining payload from a three-dimensional object, a 3D object carrying a watermark and devices implementing the disclosed methods are further disclosed.

Abstract: The invention concerns a method for estimating a distance from a first communication device to a second communication device. According to an aspect of the invention, the method comprises: Taking a picture of the second communication device by the first communication device; Obtaining a description of the second communication device; Identifying the second communication device in the picture, by using said description; Estimating a distance from the first communication device to the second communication device by using the description of the second communication device and dimensions of the second communication device identified in the picture.