Abstract: An image matching method and apparatus are disclosed. The method according to the present embodiment comprises: a step of acquiring source image; a step of acquiring a transformation image, by converting the display mode of the source images into a top view and adjusting the brightness thereof through auto exposure (AE); a step of acquiring image information; and a step of generating a target image comprising a first area and a second area in an overlap area in which pixels of a corrected transformation image are disposed on the basis of the image information, wherein the correction comprises gradation correction of the pixels of an image disposed in the first area and pixels of an image in the second area.

Abstract: Methods of and systems for reconstructing a vascular tree shape from vascular segments imaged in a single source 2-D projection image are described. A structuring shape comprising spatial positions of reference anatomical elements is defined, such as vascular segments in the definition of a 3-D surface model corresponding to a surface defined by an anatomical structure such as a body organ (e.g., heart). The 3-D surface model is used to create a 3-D model of anatomical elements (e.g., additional vascular segments of a cardiac vasculature) imaged in a source 2-D projection image, by back-projection to the 3-D surface model. The 3-D surface model is optionally aligned by first aligning the source 2-D projection image to the structuring shape. In some embodiments, the source 2-D projection image is registered to the 3-D surface model through the structuring shape by the source image's initial use in defining the structuring shape.

Abstract: In one embodiment, example systems and methods relate to a manner of generating 3D representations from monocular 2D images. A monocular 2D image is captured by a camera. The 2D image is processed to create one or more feature maps. The features may include depth features, or object labels, for example. Based on the image and the feature map, regions-of-interest corresponding to vehicles in the image are determined. For each region-of-interest a lifting function is applied to the region-of-interest to determine values such as height and width, camera distance, and rotation. The determined values are used to create an eight-point box that is a 3D representation of the vehicle depicted by the region-of-interest. The 3D representation can be used for a variety of purposes such as route planning, object avoidance, or as training data, for example.

Abstract: A computer-implemented method for selecting aerial images for image processing to identify Energy Infrastructure (EI) features is provided. The method includes performing image processing on aerial images of a portion of global terrain captured at different times to determine differences in terrain content the captured images. Aerial images are selected for further image processing according to identified differences in terrain content. The selected images are imaged processed via an EI feature recognition type to identify EI features within the images.

Abstract: A microbe scanning device and methods are disclosed. The device includes a housing that includes a sensor(s), output device(s) that conveys text/audio/images, and control circuit(s) coupled to the sensor(s) and output device(s). the sensor captures first ASD and second ASD. The first and second ASD each includes an image of an appendage captured using one or more of radio waves, visible light (“VL”), and infrared light (“IR”). The control circuit is configured to determine, using ASD, whether a user is present; determine, using ASD, whether hands are present when the user is present; determine, using ASD, whether microbiol material is present on the hands; generate a notification when the microbial material is present on the hands; transmit, via the output device, the notification; generate a notification when the microbial material is not present on the hands; and transmit the second notification when generated.

Abstract: An overlay measurement method using a reference image is an effective method for an overlay measurement in a product circuit. However, there is a problem that it is not possible to obtain an ideal reference image in a process of prototyping.

Abstract: Various embodiments provide systems, methods, devices, and instructions for performing simultaneous localization and mapping (SLAM) that involve initializing a SLAM process using images from as few as two different poses of a camera within a physical environment. Some embodiments may achieve this by disregarding errors in matching corresponding features depicted in image frames captured by an image sensor of a mobile computing device, and by updating the SLAM process in a way that causes the minimization process to converge to global minima rather than fall into a local minimum.

Abstract: An interactive sign language response (ISLR) system and method are described herein. The method includes receiving, by the interactive sign language response system, a video call from a videophone used by a video calling party, the video call including a video signal between the videophone and the interactive sign language response system; sending, by the interactive sign language response system and by way of the video call, a video prompt to be displayed on the videophone of the video calling party; and detecting, by the interactive sign language response system and by way of the video call, a response from the video calling party to the video prompt. In at least one embodiment, the interactive sign language recognition system performs automatic sign language recognition to determine one or more gestures in the video signal.

Abstract: A system and method for monitoring sensors via surveillance cameras is disclosed. In the system, surveillance cameras generating image data of scenes, where the sensors are included in the scenes. The sensors detect information concerning the scenes and encode the information so that it can be derived from the image data. Preferably, the sensors encode the information concerning the scenes by modulating a visible light source, the signals of which are captured within the image data by the cameras. An analytics system then analyzes the image data and decodes the information from the sensors encoded within the image data. Preferably, an integrated analytics system of the cameras executes the analysis. Exemplary sensors include sensors for detecting temperature, moisture, audio/voice, and product selection in a retail premises.

Abstract: Disclosed are systems and methods for obtaining a structured light reconstruction using a hybrid spatio-temporal pattern sequence projected on a surface. The method includes projecting a structured light pattern, such as a binary de Bruijn sequence, onto a 3D surface and acquiring an image set of at least a portion of this projected sequence with a camera system, and projecting a binary edge detection pattern onto the portion of the surface and acquiring an image set of the same portion of the projected binary pattern. The acquired image set of the binary pattern is processed to determine edge locations therein, and then employed to identify the locations of pattern edges within the acquired image set of the structured light pattern. The detected edges of the structured light pattern images are employed to decode the structured light pattern and calculate a disparity map, which is used to reconstruct the 3D surface.

Abstract: Certainty of detecting a watermark embedded in a color image is increased. Image data acquisition means of an image processing device acquires image data. Histogram generation means generates, based on pixel values of an image indicated by the image data acquired by the image data acquisition means, a histogram for each region in the image. Region selection means selects tom the image a region having a sparse color distribution in the histogram generated by the histogram generation means. Image processing means embeds a watermark in the region selected by the region selection means.

Abstract: Disclosed are a method and a device for determining the position of a virtual object in a virtual space. The method comprises: detecting whether a predetermined triggering condition is met; when the predetermined triggering condition is met, acquiring at least three sampling points by sampling a movement trajectory of a peripheral device in a reality space; when the movement trajectory forms a loop, determining a reality space plane on which the sampling points exist; converting the reality space plane into a target plane in the virtual space according to a preset transformation relation; and determining the position of a virtual object in the virtual space by setting a designated side of the virtual object on the target plane. By the method and the device according to the present invention, the position of a virtual object in a virtual space may be determined according to the position of a reality object in a reality space, thereby determining the position of the virtual object in the virtual space.

Abstract: Systems and methods for determining a distribution map of susceptibility property of an object are provided. The method may include one or more of the following operations. A phase diagram corresponding to a magnetic resonance (MR) signal of the object may be obtained. A preliminary field map may be determined based on the phase diagram. Preliminary error limiting information associated with the preliminary field map may be obtained. A preliminary distribution map of susceptibility property of the object may be determined based on the preliminary field map and the preliminary error limiting information. An iteration process including at least one iteration may be performed to determine a target distribution map of susceptibility property of the object.

Abstract: Embodiments of the present application disclose a target detection method and device, and relate to the technical field of video processing.

Abstract: A method and apparatus for correcting nonuniformity noise in thermal images. The method comprises receiving a current image being part of a stream of thermal images; concatenating the current image from the stream of thermal images with hidden state images; processing, by a first convolutional neural network, the concatenated image to extract a number of feature channels; generating based on the feature channels at least a first multiplicative mask; processing, by a second convolutional neural network, a masked concatenated image to compute a weighting parameter, wherein the masked concatenated image is resulted by applying the first multiplicative mask on the concatenated image; and simulating, using the weighting parameter, an infinite impulse response (IIR)-style updating scheme to estimate the nonuniformity noise in the current image.

Abstract: Present invention relates to devices and methods for determining a calcium content by analyzing cardiac spectral CT data. CT projection data (9), obtainable by scanning a cardiac region of a subject using a spectral CT scanning unit, is modelled (12) by applying a material decomposition algorithm to the projection data to provide a calcium-specific component. Tomographic reconstructions (13) of the projection data, to provide a first 3D image (8), and of the calcium-specific component, to provide a second 3D image (6), are performed. The first 3D image (8) is segmented (14) to provide an image mask (5) corresponding to a cardiovascular structure of interest, a part of the second 3D image (6) is selected (15) based on the image mask (5), and a calcium content is calculated (16) in the cardiovascular structure of interest based on the selected part of the second 3D image (6).

Abstract: A surveillance system is provided that includes an image capture device configured to capture a video sequence of a target area that includes objects and is formed from a set of image frames. The system further includes a processor configured to apply a C3D to the image frames to obtain therefor (i) intermediate feature representations across L convolutional layers and (ii) top-layer features. The processor is further configured to produce a first word of a caption for the sequence by applying the top-layer features to a LSTM. The processor is further configured to produce subsequent words of the caption by (i) dynamically performing spatiotemporal attention and layer attention using the intermediate feature representations to form a context vector, and (ii) applying the LSTM to the context vector, a previous word of the caption, and a hidden state of the LSTM. The system includes a display device for displaying the caption.

Abstract: Efficient and scalable three-dimensional point cloud segmentation. In an embodiment, a three-dimensional point cloud is segmented by adding points to a spatial hash. For each unseen point, a cluster is generated, the unseen point is added to the cluster and marked as seen, and, for each point that is added to the cluster, the point is set as a reference, a reference threshold metric is computed, all unseen neighbors are identified based on the reference threshold metric, and, for each identified unseen neighbor, the unseen neighbor is marked as seen, a neighbor threshold metric is computed, and the neighbor is added or not added to the cluster based on the neighbor threshold metric. When the cluster reaches a threshold size, it may be added to a cluster list. Objects may be identified based on the cluster list and used to control autonomous system(s).

Abstract: The present disclosure involves a reference line determination method and system. In a process of determining a reference line, a plurality of original images containing a first spatial position information are obtained. According to the plurality of original images, a composite image containing a second spatial position information is further determined. After a composition relationship between a plurality of original images was determined, a reference line is determined on the composite image according to the spatial position information.

Abstract: The present invention relates to an image processing device and method, which realize improvement in encoding efficiency for color difference signals and reduction in address calculations for memory access. In a case where a block size of orthogonal transform is 4×4, and a macroblock of luminance signals is configured of four 4×4 pixel blocks appended with 0 through 1, the four luminance signal blocks are corresponded with one color difference signal 4×4 block appended with C. At this time, there exist four motion vector information of mv0, mv1, mv2, and mv3, as to the four luminance signal blocks. The motion vector information mvc of the one color difference signal 4×4 block is calculated by averaging processing using these four motion vector information. The present invention can be applied to an image encoding device which performed encoding based on the H.264/AVC format, for example.