Abstract: Example embodiments relate to hierarchical rule clustering. The examples disclosed herein access information about a set of rules, where information for an individual rule comprises information about a set of hypershapes associated with the individual rule. A respective hypervolume for each set of hypershapes associated with each individual rule may be calculated based on the accessed information. A first rule and a second rule may be combined as a new individual rule in the set of rules based on overlaps between the calculated hypervolumes.

Abstract: An imaging processing system includes an image pickup device that has circuitry which creates, from raw image data, image data including a first gamut, and compression-codes the image data including the first gamut to generate compression-coded image data. The system also includes an image processing device that has circuitry which decodes the compression-coded image data to generate uncompressed image data, which includes the first gamut. The circuitry of the image processing device also converts the uncompressed image data including the first gamut into image data including a second gamut, where the first gamut encompasses the second gamut.

Abstract: A structural analysis computing device for determining structural characteristics of an object pictured in a three-dimensional (3D) image may be provided. The structural analysis computing device may include a memory, a user interface, an object sensor configured to capture the 3D image of the object, and at least one processor in communication with the memory and the object sensor. The processor may be configured to access the 3D image including the object, automatically determine a first plurality of measurements of the object from the 3D image, and display the 3D image on the user interface. The processor may be further configured to generate a data file including the 3D image and the first plurality of measurements, and store the data file within the memory. The processor may also be configured to transmit the data file to an insurance server computing device for generation of an associated insurance claim form.

Abstract: A system for monitoring vital signs includes: an imaging device for acquiring video image files of a living individual; a data analysis system including a processor and memory; a computer program running in the data analysis system to automatically analyze the video images, autonomously identify an area in the images where periodic movements associated with a selected vital sign may be detected and quantified; and, an interface that outputs an electrical signal corresponding to the waveform of the selected vital sign. The system may include a Graphical User Interface, which may display a visual graph of the waveform and a single video frame or a video stream of the individual.

Abstract: The present invention discloses system and method for fake face identification. The system is a multi-spectral sensing based bio-security system. The system uses CNN module along with thermal sensors to detect human face and also detects the human temperature. The system authenticates a human face and in case of temperature generates an alarm as an alert.

Abstract: In one embodiment, a method includes obtaining an image comprising a plurality of pixels, determining, for a particular pixel of the plurality of pixels, a gradient value, classifying, based on the gradient value, the particular pixel into a flat class or one of a plurality of edge classes, and denoising the particular pixel based on the classification.

Abstract: The technology described herein is directed to a reinforcement learning based framework for training a natural media agent to learn a rendering policy without human supervision or labeled datasets. The reinforcement learning based framework feeds the natural media agent a training dataset to implicitly learn the rendering policy by exploring a canvas and minimizing a loss function. Once trained, the natural media agent can be applied to any reference image to generate a series (or sequence) of continuous-valued primitive graphic actions, e.g., sequence of painting strokes, that when rendered by a synthetic rendering environment on a canvas, reproduce an identical or transformed version of the reference image subject to limitations of an action space and the learned rendering policy.

Abstract: Systems and methods of valve quantification are disclosed. In one embodiment, a method of mitral valve quantification is provided. The method includes generating a 3-D heart model, defining a 3-D mitral valve annulus, fitting a plane through the 3-D mitral valve annulus, measuring the distance between at least two papillary muscle heads, defining an average diameter of at least one cross section around the micro valve annulus, and determining a size of an implant to be implanted.

Abstract: A method for assessing tyre tread depth and/or tyre condition by taking and analysing a camera image or images of a tyre using portable instrumentation.

Abstract: Systems, apparatuses and methods may a performance-enhanced computing system comprising a sensor for measuring luminance values corresponding to light focused onto the sensor at a plurality of pixel locations, a memory including a set of instructions, and a processor. The processor executes a set of instructions causing the system to generate a multi-segment tone mapping curve, generate a set of tone mapping values corresponding to the multi-segment tone mapping curve for equally spaced input values between zero and one for storage into a look up table, and process the luminance values using the look up table to apply the tone mapping curve to the luminance values of the pixels.

Abstract: The present disclosure relates to a video repair method and apparatus, an electronic device, and a storage medium.

Abstract: An image processing apparatus in an embodiment retains combination data showing a combination of multiple pieces of noise reduction processing for each of multiple noise levels and associating a parameter for the multiple noise levels with at least either a combination of neural networks to be applied in multiple neural networks or the number of applications of the neural networks. The apparatus also determines, based on information on a noise level obtained from a processing target image, a combination of pieces of noise reduction processing for the processing target image from the combination data. Additionally, the apparatus executes, based on data on the determined combination of pieces of noise reduction processing, the noise reduction processing using at least one of the multiple neural networks for the processing target image.

Abstract: An image processing device includes a processor; and a memory to store the program which performs processing including: measuring a first texture amount indicating luminance variation in image regions, based on the image regions obtained by dividing the captured image and previously determining an image processing target region based on the first texture amount; judging whether the image processing on a current captured image is necessary based on luminance of the image processing target region in the current captured image; calculating a second texture amount indicating luminance variation in the image processing target region, and judging whether the image processing should be performed on the image processing target region or not based on the second texture amount; and performing the image processing on the image processing target region on which the judging based on the second texture amount is that the image processing should be performed.

Abstract: A first parcel digital image associated with a first interaction point is received. The first parcel digital image may be associated with a first parcel being transported to or from the first interaction point. At least a second parcel digital image associated with at least a second interaction point is further be received. The second parcel digital image may be associated with the first parcel being transported to or from the second interaction point. A first parcel damage analysis is automatically generated based at least in part on analyzing the first parcel digital image and the at least second parcel image. The damage analysis can include determining whether the first parcel is damaged above or below a threshold.

Abstract: The present invention discloses a scene recognition method, a training method and a device based on pyramid attention, belonging to the field of computer vision. The method includes: pyramid layering a color feature map and a depth feature map respectively, calculating the corresponding attention map of each layer; taking the output of the attention of the last layer as the output; taking the attention output of the last layer as the final feature map, for the remaining layers, adding the result after upsampling of the final feature map of an upper layer to the attention output of this layer as the final feature map of this layer; scaling the attention map and the final feature map, using the average of two new attention maps as the final attention map, mapping the largest k position in the final attention map to the final feature map of this layer.

Abstract: A method includes defining a background model of the video sequence by applying a first algorithm, the background model defining whether that spatial area belongs to a background or a foreground in the video sequence, wherein a detected significant change in image data in a spatial area in an image frame relative image data in said spatial area in a preceding image frame is indicative of said spatial area belonging to the foreground; indicating that an idle area of the defined foreground areas is to be transitioned from foreground to background; and determining whether the idle area is to be transitioned by applying a second algorithm to image data of an image frame of the video sequence, the image data at least partly corresponding to the idle area; wherein if the idle area is not to be transitioned, maintaining the idle area as a foreground area in the background model.

Abstract: There is provided an apparatus including a first correction unit configured to acquire a first corrected pixel using the covariance matrix, a determination unit configured to determine whether the first corrected pixel is abnormal, a second correction unit configured to acquire a second corrected pixel by performing a second correction on a pixel at a position of the first corrected pixel determined to be abnormal.

Abstract: A media capture device (MCD) that provides a multi-sensor, free flight camera platform with advanced learning technology to replicate the desires and skills of the purchaser/owner is provided. Advanced algorithms may uniquely enable many functions for autonomous and revolutionary photography. The device may learn about the user, the environment, and/or how to optimize a photographic experience so that compelling events may be captured and composed into efficient and emotional sharing. The device may capture better photos and videos as perceived by one's social circle of friends, and/or may greatly simplify the process of using a camera to the ultimate convenience of full autonomous operation.

Abstract: Disclosed are a method of inspecting and evaluating a coating state of a steel structure, and a system therefor. A plurality of vision images and thermal images are acquired. While acquiring the thermal images, a desired region is heated. After the thermal images and the vision images in a dynamic state are reconstructed into a time-spatial-integrated thermal image and a time-spatial-integrated vision image in a static state, respectively, an overlay image is generated by overlaying the two images. A deterioration region of a coating is detected, and coating deterioration is classified by characteristics. A size of the coating deterioration region is quantified. A thickness of the coating is inspected by analyzing thermal energy measured from the time-spatial-integrated thermal image. A coating grade is calculated by comprehensively evaluating a coating deterioration inspection result and a coating thickness inspection result. A state evaluation report for the steel structure is automatically created.

Abstract: An image processing device (100) includes a noise reducer (22) including a pixel ratio acquirer (23) configured to acquire a pixel value ratio (?) between a scattered-ray reduced image (52) after reduction of a scattered-ray component and a radiation image (51) before the reduction of the scattered-ray component, the noise reducer being configured to reduce a noise component from the scattered-ray reduced image based on the pixel value ratio.