Abstract: Fill techniques as implemented by a computing device are described to perform hole filling of a digital image. In one example, deeply learned features of a digital image using machine learning are used by a computing device as a basis to search a digital image repository to locate the guidance digital image. Once located, machine learning techniques are then used to align the guidance digital image with the hole to be filled in the digital image. Once aligned, the guidance digital image is then used to guide generation of fill for the hole in the digital image. Machine learning techniques are used to determine which parts of the guidance digital image are to be blended to fill the hole in the digital image and which parts of the hole are to receive new content that is synthesized by the computing device.

Abstract: The present disclosure relates to spatially modulating the light source used in microscopy. In some cases, a light source projects a sequence of two-dimensional spatial patterns onto a sample using a spatial light modulator. In some cases, the spatial patterns are based on Hadamard matrices. In some cases, an imaging device captures frames of image data in response to light emitted by the sample and orthogonal components of the image data are analyzed by cross-correlating the image data with the spatial pattern associated with each frame. A microscope may be calibrated by illuminating a sample with the sequence of spatial patterns, capturing image data, and storing calibration that maps each pixel of the spatial light modulator to at least one pixel of the imaging device.

Abstract: Systems and methods are described for placing large objects and objects separated by large distances in an AR environment. An AR headset system may place and generate digital objects using relative geographical coordinates (e.g., latitude, longitude, and altitude) between the user's current position and the object being placed. In one implementation, a digital object's geographical coordinates may be calculated by determining a user's geographical coordinates, using a distance determination device to measure a distance to a boundary in the user's real-world environment within an AR headset's field of view, and calculating an orientation of the AR headset relative to the user's position.

Abstract: The present disclosure relates to systems and methods for determining a motion of an object during imaging. The systems and methods may cause a light emission device to project a structured light onto the object, and cause a light reception device to detect light resulting from the structured light as projected onto the object and generate a plurality of measured images of the structured light based on the detected light. The systems and methods may further determine the motion of the object based on the plurality of measured images of the structured light and a reference image of the structured light.

Abstract: An apparatus according to one embodiment includes a container having an interior, and a divider in the interior of the container. The divider selectively separates the interior into first and second compartments. The divider is configured to keep bees located in the first compartment separated from bees in the second compartment when in a closed configuration, and to allow the bees positioned in the first compartment to enter the second compartment when in an open configuration. The apparatus also includes an image capture device for capturing images of the bees in the interior of the container, and an outlet for permitting ingress and egress of the bees from the second compartment. The container is configured to prevent the bees from escaping from the first compartment.

Abstract: Determining that a vehicle is speeding in violation of a speeding regulation. Capture a timed sequence of image frames of the target vehicle at known capture times of the vehicle, identify corresponding images of a license plate of the target vehicle in the image frames, recognize an alphanumeric character of the license plate in the corresponding images of the license plate, measure respective image dimensions of the alphanumeric character; and responsive to a change between the image dimensions of the alphanumeric character, compute a speed of the target vehicle relative to the camera. Font style and font size are stored of one or more standard vehicle license plate.

Abstract: Described is a multiple-camera system and process for detecting a user within a materials handling facility and tracking a position of the user as the user moves through the materials handling facility. In one implementation, a plurality of depth sensing cameras are positioned above a surface of the materials handling facility and oriented to obtain a top-down view of the surface of the materials handling facility, along with any objects (e.g., users) on the surface of the materials handling facility. The depth information from the cameras may be utilized to detect objects on the surface of the materials handling facility, track a movement of those objects and determine if those objects are users.

Abstract: A system for obscuring portions of multimedia content, includes: a processor; and memory coupled to the processor, wherein the memory has stored thereon instructions that, when executed by the processor, causes the processor to: identify obscuring preferences from a user profile; determine one or more objectionable content types from the obscuring preferences; retrieve one or more filter files corresponding to the objectionable content types, each of the filter files including at least one filter image corresponding to a portion of a frame; and transmit the filter image to obscure the portion of the frame.

Abstract: An object detection system for generating a probability distribution of the location of an object includes one or more processors and a memory in communication with the one or more processors. The memory includes an image acquisition module, a bounding box generator module, and a probability distribution generator module. The image acquisition module causes the one or more processors to obtain a two-dimension image displaying an object. The bounding box generator module causes the one or more processors to generate, using the two-dimensional image as an input, a bounding box of the object displayed in the two-dimensional image having a plurality of pixels. The probability distribution generator module causes the one or more processors to generate a probability distribution of a bounding box location for the object using a neural process using a pair of context points, a latent space, and a centered pixel location.

Abstract: An object tracking system includes a first sensor, a second sensor, and a tracking system. The first sensor is configured to capture a first frame of a global plane for at least a first portion of a space. The second sensor is configured to capture a second frame of at least a second portion of the space. The tracking system is configured to determine the object is within an overlap region with the second sensor based on a first pixel location. The tracking system is further configured to determine a first coordinate in the global plane for the object, to determine a second pixel location in the second frame for the object based on the first coordinate, and to store the second pixel location with an object identifier a tracking list associated with the second sensor.

Abstract: A computing system obtains image data representing images. Each of the images is captured at different time points of a physical environment. The physical environment comprises a first object and a second object. The computing system executes a control system to augment the physical environment. The control system detects a group forming in the images. The control system tracks an aspect of a movement, of a given object, in the group. The control system simulates the physical environment and the movement, of the given object, in the group in a simulated environment. The control system evaluates simulated actions in the simulated environment for a predefined objective for the physical environment. The predefined objective is related to an interaction between objects in the group. The control system generates based on evaluated simulated actions and autonomously from involvement by any user of the control system, an indication to augment the physical environment.

Abstract: The disclosure relates to corresponding apparatus, computer program and method for receiving three-dimensional, 3D, map-data, in which a plurality of locations within the 3D-map-data are association with respective 3D-data-capture-locations of a 3D-camera, and in which 3D-camera-timing-information is associated with each of the plurality of locations; receiving one or more two-dimensional, 2D, images from a 2D-camera, in which 2D-camera-timing-information is associated with each 2D-image, and in which each 2D-image is captured when a movement of the 3D-camera is less than a threshold level; identifying 3D-camera-timing-information associated with locations within the 3D-map-data that correspond to 3D-data-capture-locations with a movement level of the 3D-camera less than the threshold level; associating, in a combined dataset, each 2D-image with a corresponding location within the 3D-map-data by a data processing unit correlating the 2D-camera-timing-information with the identified 3D-camera-timing-informatio

Abstract: A computing system responsive to obtaining original image data, detects a set of data point(s), in the original image data, that indicates an object. The system determines, based on the set of data point(s), a set of pixels associated with the object in the original image data. The system generates an alternative visual identifier for the object that provides a unique identifier for the set of pixels absent in the original image data. The system generates, autonomously from intervention by any user of the computing system, pixel information to conceal feature(s) of the object. The system obtains modified image data comprising the alternative visual identifier. The modified image data further comprises the feature(s) of the object in the original image data visually concealed in the modified image data according to the pixel information. The system outputs an image representation of a trajectory of the object through the modified image data.

Abstract: A method, system and machine for assisting a pathologist in identifying the presence of tumor cells in lymph node tissue is disclosed. The digital image of lymph node tissue at a first magnification (e.g., 40×) is subdivided into a multitude of rectangular “patches.” A likelihood of malignancy score is then determined for each of the patches. The score is obtained by analyzing pixel data from the patch (e.g., pixel data centered on and including the patch) using a computer system programmed as an ensemble of deep neural network pattern recognizers, each operating on different magnification levels of the patch. A representation or “heatmap” of the slide is generated.

Abstract: A method for generating attenuation map is disclosed. The method includes acquiring an anatomic image and PET data indicative of a subject, wherein the anatomic image comprises a plurality of voxels. The method also includes fetching a reference image to register the anatomic image, the reference image includes voxel segmentation information. The method further includes segmenting the anatomic image into a plurality of regions based on the voxel segmentation information. The method further includes generating a first attenuation map corresponding to the anatomic image by assigning attenuation coefficients to the plurality of regions. The method further includes calculating a registration accuracy between the anatomic image and the reference image. The method further includes determining a probability distribution of attenuation coefficient.

Abstract: The present approach relates to the use of a point cloud of an object to initialize or seed a space carving technique used to generate a 3D model of the object. In one implementation, feature matching is performed on 2D images, with matched features constituting the points of a point cloud model. The point cloud generated in this manner, is one input of a foreground/background segmentation algorithm, which generates a set of segmented 2D images used by a space carving routine to generate a 3D model of the object.

Abstract: A degradation detection device (10) includes: an image acquisition unit (11) that acquires an image sequence of a detection target; a matching point specification unit (12) that specifies matching points in the image sequence; a motion amount calculation unit (13) that, based on the specified matching points, for each frame that constitutes the image sequence, specifies motion occurring between the frame and a frame immediately previous thereto, and calculates a motion amount for each of the matching points along a time series; and a degraded region candidate specification unit (14) that specifies a region in which degradation has likely occurred in the image sequence, based on the motion amounts of the matching points that were calculated along the time series.

Abstract: Disclosed is a system for assisting in guiding and performing a procedure on a subject. The subject may be any appropriate subject such as inanimate object and/or an animate object. The guide and system may include various manipulable or movable members, such as robotic systems, and may be registered to selected coordinate systems.

Abstract: A model training method includes: constructing a mapping model between original color information values and standard color information values of images with a coefficient matrix; establishing an objective function of the mapping model based on a regular term of a variable exponent; determining original color information values and standard color information values of a plurality of sample images; and calculating the objective function from the original color information values and the standard color information values of the plurality of sample images to determine the coefficient matrix.

Abstract: An OLED display structure, an OLED display device, and a spatial point positioning system and a method thereof are provided. The OLED display structure includes a light emitting layer which has a plurality of pixels, and infrared sub-pixels arranged between adjacent pixels.