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.

Abstract: An apparatus that separates a resin layer together with a film from a wafer to which the film is made to adhere with the intermediary of the resin layer formed on one surface and around which a protruding part is formed through protrusion of the film from a peripheral edge includes a separating unit that separates the resin layer from the one surface of the wafer. An imaging unit images the one surface from which the resin layer has been separated. A first determining part determines whether or not a resin residual in one pixel of a captured image exists based on the brightness of the one pixel, and a second determining part determines whether or not a resin residual that adversely affects grinding exists from the captured image after the first determining part has determined whether or not a resin residual exists in each pixel.

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: A moving object localization system includes: a sensor that detects a moving object and measures positional information of the moving object; and a server that collects measured information from the sensor and calculates a position of moving object.

Abstract: According to an embodiment, an information processing apparatus includes a position acquiring unit, and an occupancy level calculating unit. The position acquiring unit is configured to acquire position information representing a position where a target exists or no target exists, the position being measured by a sensor. The occupancy level calculating unit is configured to calculate an occupancy level distribution representing a level of occupancy, by the target, of each of a plurality of regions existing along a direction from the position of the sensor to the position indicated by the position information, based on the position information and measurement accuracy of the sensor, the occupancy level distribution being based on a non-measurement probability distribution representing a probability that measurement is not performed by the sensor.

Abstract: The present disclosure relates to techniques for reconstructing an object in three dimensions that is captured in a set of two-dimensional images. The object is reconstructed in three dimensions by computing depth values for edges of the object in the set of two-dimensional images. The set of two-dimensional images may be samples of a light field surrounding the object. The depth values may be computed by exploiting local gradient information in the set of two-dimensional images. After computing the depth values for the edges, depth values between the edges may be determined by identifying types of the edges (e.g., a texture edge, a silhouette edge, or other type of edge). Then, the depth values from the set of two-dimensional images may be aggregated in a three-dimensional space using a voting scheme, allowing the reconstruction of the object in three dimensions.