Abstract: The present application discloses a method for predicting stereoscopic depth comprising capturing object images of a target scene; generating a stereoscopic depth image associated with the object images; identifying a no-depth-data region in the stereoscopic depth image; identifying a depth-data region correlated to the no-depth-data region; and assigning a depth data to the no-depth-data region based on a depth data of the depth-data region correlated to the no-depth-data region.

Abstract: A method for agronomic and agricultural monitoring includes designating an area for imaging, determining a flight path above the designated area, operating an unmanned aerial vehicle (UAV) along the flight path, acquiring images of the area using a camera system attached to the UAV, and processing the acquired images.

Abstract: An optical tomographic imaging apparatus capable of acquiring a two-dimensional or/and three-dimensional tomographic image having higher SNR and quality by cancelling phase change caused by birefringence of a sample in average processing using a predetermined kernel region, and calculating a global phase difference of each pixel in the kernel. The optical tomographic imaging apparatus includes a processing unit configured to: set a predetermined kernel to a B scan image or/and C scan image (volume data) acquired corresponding to a Jones matrix; model the Jones matrix of each pixel in the set predetermined kernel by using one or more unitary matrices to calculate a relative global phase of each pixel; and cancel the calculated relative global phase in each pixel in the predetermined kernel to average each element of the Jones matrix in the predetermined kernel.

Abstract: Techniques related to pose estimation for an articulated body are discussed. Such techniques may include extracting, segmenting, classifying, and labeling blobs, generating initial kinematic parameters that provide spatial relationships of elements of a kinematic model representing an articulated body, and refining the kinematic parameters to provide a pose estimation for the articulated body.

Abstract: A camera-based obstacle detection system includes a first camera, a second camera, and one or more processors configured to acquire a first image from the first camera, acquire a second image from the second camera, determine a depth of an object based on a location of the object in the first image relative to a location of the object in the second image, and in response to the depth exceeding a threshold depth value, generate an alert.

Abstract: A method for detecting an object captured by a camera in an environmental region of a vehicle based on a temporal sequence of images of the environmental region is disclosed. An electronic evaluation device is used to determine at least one characteristic pixel of the object in a first image of the sequence of images, and the determined characteristic pixel is tracked in at least a second image and a flow vector each having a vertical component and a horizontal component is provided by the tracking. A first depth component, which is perpendicular to the vertical component and the horizontal component, is determined based on the vertical component, and a second depth component, perpendicular to the vertical component and the horizontal component, is determined based on the horizontal component. When the first and second depth component correspond within a tolerance range, a validated final depth component is provided.

Abstract: Apparatus and methods for detecting and utilizing saliency in digital images. In one implementation, salient objects may be detected based on analysis of pixel characteristics. Least frequently occurring pixel values may be deemed as salient. Pixel values in an image may be compared to a reference. Color distance may be determined based on a difference between reference color and pixel color. Individual image channels may be scaled when determining saliency in a multi-channel image. Areas of high saliency may be analyzed to determine object position, shape, and/or color. Multiple saliency maps may be additively or multiplicative combined in order to improve detection performance (e.g., reduce number of false positives). Methodologies described herein may enable robust tracking of objects utilizing fewer determination resources. Efficient implementation of the methods described below may allow them to be used for example on board a robot (or autonomous vehicle) or a mobile determining platform.

Abstract: A non-transitory computer readable medium stores a program that causes a computer to execute a position conversion process. The process includes storing actual layout information and virtual layout information, the actual layout information defining a layout of a first subject within an actual structure, the virtual layout information defining a layout of a second subject within a virtual structure; acquiring a human position within the actual structure; and converting the human position in the actual layout information into the human position in the virtual layout information.

Abstract: In a medical viewing system having an X-ray image acquisition device a data processing unit is adapted for generating two different views on a three-dimensional image set, wherein a first view is corresponding to the viewing direction of the X-ray image acquisition device and a second view has a rotational offset to the first viewing direction. The first view may include live X-ray images, e.g. for monitoring a stent placement. The second view 10 supports a clinician to unambiguously judge whether ostia connection points may be blocked that are not clearly visible in anterior-posterior images.

Abstract: Systems and methods may provide for identifying one or more facial expressions of a subject in a video signal and generating avatar animation data based on the one or more facial expressions. Additionally, the avatar animation data may be incorporated into an audio file associated with the video signal. In one example, the audio file is sent to a remote client device via a messaging application. Systems and methods may also facilitate the generation of avatar icons and doll animations that mimic the actual facial features and/or expressions of specific individuals.

Abstract: A computing device of a first vehicle may receive a first image and a second image of a second vehicle having flashing light signals. The computing device may determine, in the first image and the second image, an image region that bounds the second vehicle such that the image region substantially encompasses the second vehicle. The computing device may determine a polar grid that partitions the image region in the first image and the second image into polar bins, and identify portions of image data exhibiting a change in color and a change in brightness between the first image and the second image. The computing device may determine a type of the flashing light signals and a type of the second vehicle; and accordingly provide instructions to control the first vehicle.

Abstract: An information notification apparatus (1) includes: an image acquisition unit (42) that acquires a plurality of moving images in which motions of subjects are captured, respectively; a first detection unit (44) that detects a specific state in the motions of the subject from respective moving images among the plurality of moving images acquired by the acquisition unit; a face detection unit (45) that detects an image corresponding to the specific state detected by the first detection unit from the respective moving images; a comparison unit (47) that compares images detected by the image detection unit; and a notification control unit (50) that notifies information based on a comparison result by the comparison unit.

Abstract: An apparatus includes a baseboard, a grid, a first marker, and a second marker. The grid has a plurality of cells integrally formed with the baseboard. The first marker is integrally formed with the baseboard and intersects the grid at a first angle with respect to a reference line. The second marker is integrally formed with the baseboard and intersects the grid at a second angle with respect to the reference line. The first angle and the second angle are vertically opposite. The grid, the first marker, and the second marker are made of materials having luminescence characteristics that are different than an x-ray characteristic of a material of the baseboard.

Abstract: An exemplary embodiment of the present invention provides a method of verifying an identity of a person-to-be-identified using biometric signature data. The method comprises creating a sample database based on biometric signature data from a plurality of individuals, calculating a feature database by extracting selected features from entries in the sample database, calculating positive samples and negative sampled based on entries in the feature database, calculating a key bin feature using an adaptive boosting learning algorithm, the key bin feature distinguishing each of the positive samples and negative samples, and calculating a classifier from the key bin feature for use in identifying and authenticating a person-to-be-identified.

Abstract: A method and an apparatus for detecting an object are disclosed. The method comprises the steps of obtaining a plurality of depth images of the object; extracting foregrounds; fusing the foregrounds in a unified three-dimensional world coordinate system; calculating an appearance two-dimensional histogram from the fused foreground by the following steps of dividing the foreground into vertical members and getting statistics of the numbers of foreground points in the vertical members so as to obtain the appearance two-dimensional histogram; determining an overlapping region and the number of overlaps based on the placement of stereo cameras; determining a detection parameter relating to a detection position based on the overlapping region and the number of overlaps; and detecting the object by the appearance two-dimensional histogram based on the determined detection parameter.

Abstract: A method of determining bone fragment navigation may include receiving pre-operative 2D image data of a reference bone structure and a bone fragment. The reference bone structure may include a first set of fiducial markers provided thereon, and the bone fragment may include a second set of fiducial markers provided thereon. The method may further include performing a 2D-3D registration between the pre-operative 2D image data and a 3D model of the reference bone structure and the bone fragment, after manual repositioning of the bone fragment, receiving second 2D image data, performing 2D-2D registration of the first set of fiducial markers and the second set of fiducial markers between the pre-operative 2D image data and the second 2D image data, and determining 3D movement of the bone fragment based at least in part on the 2D-2D registration.

Abstract: A motion estimation device includes an acquisition unit configured to acquire a distance between a sensor and an object and a situation estimation unit configured to estimate a person's reaction based on a distance acquired by the acquisition unit at a first time that is set based on a time when a person is being urged to stop raising his/her hand.

Abstract: Systems and methods search video data for objects that satisfy a general object description. A database is populated with identified objects and object characteristics detected in video data with at least one identifier that specifies video image data. At least one search parameter is received that presents a general object description. The database is queried based upon the received at least one search parameter. At least one identifier is returned from the database based upon the at least one search parameter.

Abstract: A method and a system for monitoring a bolus value are disclosed. The method includes contrast-agent-assisted test recording of a time series of test images of a region under examination, wherein one bolus value is determined in each of the respective test images, together with the change in the bolus values between at least two test images. The method includes regulating the time interval between the recordings of individual test images as a function of the change in the bolus values, thereby enabling the temporal resolution for determining the bolus value to be selected in such a way that it corresponds to the change in the bolus values. In this way the temporal resolution in the monitoring of bolus values is improved with a view to avoiding both too high and too low a recording rate for the test images.

Abstract: In a method for improving alignment between representations of a same elongate feature in first and second images, the images are provided to a processor and the processor derives a centerline from image data representing an elongate anatomical feature in the first image, and derives a value of a metric indicating a present quality of alignment of the centerline with image data of the second image representing the same anatomic feature. The processor optimizes the metric to provide a rigid transform, and applies the rigid transform to the centerline or the second image to improve the alignment between the first and the second image with respect to the elongate feature.