Abstract: At least one processor determines bounding boxes in an image using a neural network. At least one processor extracts an initial bounding box for an object in the image. At least one processor selects a cluster center of the bounding boxes and circumscribes a cluster box around the cluster center. At least one processor rotates the initial bounding box and contents of the initial bounding box according to a rotation angle determined based on the cluster box. At least one processor detects the object in the rotated initial bounding box using a trained machine learning model.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for detection of pixel correspondences in stereo imaging through the use of polarization data. One of the methods include: obtaining a first image from a first viewpoint of a stereo pair and a second image from a second viewpoint of the stereo pair; obtaining an angle of linear polarization (AOLP) map and a degree of linear polarization (DOLP) map having a field of view overlapping the first image and the second image; computing a surface normal map based on the AOLP map and the DOLP map; and detecting corresponding pixels between the first image and the second image by computing a disparity map that minimizes an energy function comprising a pixel matching cost term and a polarized smoothness regularization term computed based on pixels in a local neighborhood and based on the surface normal map.

Abstract: The present disclosure relates to systems, methods, and non-transitory computer-readable media that generate a modified digital image depicting a transparent object utilizing a transparency properties neural network. For example, the disclosed system accesses a trimap for a source digital image depicting a transparent object. The disclosed system utilizes the trimap of the source digital image and the source digital image to generate an alpha matte and a refractive flow. Specifically, the disclosed system generates the alpha matte and refractive flow by utilizing a transparency properties neural network. Furthermore, the disclosed system generates the modified digital image depicting the transparent object (from the source digital image) within a background of a target digital image, by modifying a portion of the background of a target digital image behind the transparent object utilizing the alpha matte and the refractive flow.

Abstract: Techniques are disclosed for resampling images. In some embodiments, a resampling model includes (1) one or more feature extraction layers that extract features from an input image and a degradation map; (2) one or more resampling layers that generate warped features from the extracted features and a warp grid; and (3) one or more prediction layers that generate, from the warped features, an output image or resampling kernels that can be applied to the input image to generate an output image. In some embodiments, the resampling model can be trained by applying degradation maps to output images in a training data set to generate corresponding input images, and training the resampling model using the input images and the corresponding output images.

Abstract: In a disclosed example, a computer-implemented method includes storing image data that includes an input image of a blood sample within a blood monitoring device. The method also includes generating, by a machine learning model, a segmentation mask that assigns pixels in the input image to one of a plurality of classes, which correlate to respective known biophysical properties of blood cells. The method also includes extracting cell images from the input image based on the segmentation mask, in which each extracted cell image includes a respective cluster of the pixels assigned to a respective one of the plurality of classes.

Abstract: The systems and methods generate synthetic speckle data. The system introduces speckle noise into a clean dataset of images. The system utilizes a machine learning model, such as a model with a convolutional autoencoder architecture, and trains the machine learning model on the synthetic training data. The system uses the trained machine learning model on intracardiac echocardiography images to remove speckle substantially in real-time.

Abstract: A detection method for infrared thermal image damage area of coal rock includes: step 1: collecting and recording the infrared thermal image of coal rock in the process of loading destruction; step 2: processing a gray-scale transformation on the collected infrared thermal image of coal rock; step 3: denoising an infrared thermal image of coal rock after the gray-scale transformation by the dense residual image denoising algorithm of autocorrelation network; step 4: conducting an area segmentation on the infrared thermal image of coal rock after denoising to extract eigenvalues by using a coal-rock infrared thermal image damage area segmentation algorithm of improved encoder-decoder network; step 5: observing the damage area of coal rock. The detection method improves the denoising effect of the infrared thermal image of coal rock, strengthens the extraction of the characteristics of the damage area, and improves the accuracy of the segmentation.

Abstract: A deep learning network can have the following elements arranged in sequence: a convolutional block, a first residual block (RB), a first element-wise adder, a second RB, a second element-wise adder, and an upsampling unit. At least one processor can perform processing comprising generating a super resolution image by processing, with the deep learning network, an image having a resolution lower than a resolution of the super resolution image.

Abstract: The present invention definitively and efficiently calculates a three-dimensional plane of a workpiece to be measured by automating the mask processing. A mask-setting device which, when obtaining three-dimensional information about a workpiece by using a three-dimensional sensor, sets a mask which makes three-dimensional points outside a measurement target region not usable in the calculation of a three-dimensional plane, said device being equipped with an outline extraction unit for subjecting a two-dimensional image of the workpiece which is captured by a camera to pattern recognition, and extracting an outline of the workpiece therefrom, a height information acquisition unit for acquiring height information about the outline from a distance image among the three-dimensional information acquired by the three-dimensional sensor; and a mask-setting unit for setting a mask in a region outside the workpiece on the basis of the height information.

Abstract: Methods, computer systems, and apparatus, including computer programs encoded on computer storage media, for predicting scene transitions. A computer system receives an input sequence of images of a scene with each image corresponding to a different time point in an observation time sequence. For each time point, the system processes the corresponding image using a decomposition neural network to generate one or more feature representations. The system processes the feature representations for the time points using an alignment neural network to generate a set of aligned sequences of feature representations. The system further processes the set of aligned sequences of feature representations using a transition neural network to predict, for each of the aligned sequences of feature representations, one or more feature representations that represent predicted features of the object represented by the aligned sequence at one or more successive time points.

Abstract: A method for detecting optical defects within a windshield. The method takes, as input, a digital image map of the intensity of optical power of a windshield, and provides, as output, a digital image map of optical defects. The method includes (a) an image processing of the digital image map of optical powers for detecting and delimiting regions that differs in intensity of optical power; (b) computing, for each detected regions, a representative geometric distance and a representative value of the optical power; (c) computing an image map of the detected regions for which the product between the representative geometric distance and the representative value of the optical power is equal or superior to 2.9·10?4.

Abstract: Disclosed herein are methods, systems, and aircraft for verifying performing automated refueling data. A method includes receiving a two-dimensional (2D) image from a camera, cropping the 2D image based on predefined feature areas of interest of a target object to produce a plurality of cropped images, resizing one or more of the cropped images responsive to the target object being greater than a threshold distance from the camera to produce one or more resized images, determining 2D keypoints of the target object within the one or more resized images or the plurality of cropped images, estimating a 6 degrees-of-freedom (6DOF) pose based on the 2D keypoints and a three-dimensional (3D) model of the target object to produce an estimated 6DOF pose, and outputting the 6DOF pose.

Abstract: Systems and methods for analyzing image data to assess property damage are disclosed. According to certain aspects, a server may analyze segmented digital image data of a roof of a property using a convolutional neural network (CNN). The server may extract a set of features from a set of regions output by the CNN. Additionally, the server may analyze the set of features using an additional image model to generate a set of outputs indicative of a confidence level that actual hail damage is depicted in the set of regions.

Abstract: The present invention provides a high-speed automatic film-foreign substance detection apparatus, including: a stage on which a sample is mounted; a plurality of side light units arranged on an upper side surface of the stage to irradiate side light toward a sample during an operation of a low-magnification optical module; a low-magnification optical module installed at an upper side of the stage and generating a low-magnification image by capturing the sample so that the foreign substance can be detected from the sample using the light scattering of the foreign substance by the side light irradiated from the side light unit; a high-magnification optical module installed at one side of the stage, having a high-magnification driving unit installed and connected thereto to drive in directions of an x-axis, a y-axis and a z-axis, and generating a high-magnification image by capturing the sample; and a user device for controlling the operation of the low-magnification optical module and the high-magnification opt

Abstract: To provide a technique which makes it possible to suitably estimate an important region and a non-important region in an image, an information processing apparatus includes: an obtaining means for obtaining input data which includes at least one of image data and point cloud data; an estimating means for estimating levels of importance with respect to a respective plurality of regions which are included in a frame indicated by the input data; a replacing means for generating replaced data by replacing at least one of the plurality of regions, which are included in the input data, with alternative data in accordance with the levels of importance; an evaluating means for deriving an evaluation value by referring to the replaced data; and a training means for training the estimating means with reference to the evaluation value.

Abstract: Computer vision systems and methods for noisy contour alignment are provided. The system generates a loss function and trains a convolutional neural network with the loss function and a plurality of images of a dataset to learn to align contours with progressively increasing complex forward and backward transforms over increasing scales. The system can align an attribute of an image of the dataset by the trained neural network.

Abstract: An electronic device for generating an image with an enhanced depth as perceived by a viewer includes at least one memory storing instructions, and at least one processor configured to execute the instructions to receive an input image, receive a control parameter for adjusting a first level of at least one pictorial depth cue included in the input image, and generate an output image including the at least one pictorial depth cue at a second level that is adjusted from the first level based on the control parameter using a deep neural network.

Abstract: A state determination apparatus acquires each of time-series fixed images obtained by shooting a rotating object via a first optical device that rotates and emits incident light; calculates a displacement amount of a plurality of specific points on the object, and calculates a difference between the displacement amount of a reference specific point and the displacement amount of each specific point other than the reference specific point; calculates, as an out-of-plane displacement, a displacement of a surface of the object on an image plane following movement of the object in a normal direction of the image plane, using the difference; calculates, as an in-plane displacement, a displacement of the surface of the object on the image plane following movement of the surface of the object; and specifies an abnormality of the object, based on a distribution of the in-plane displacement or a temporal change of the out-of-plane displacement.

Abstract: This image quality evaluation device comprises: a conversion unit that converts the data of an image to two-dimensional array data of the luminance value of each pixel in the image; a processing unit that executes an averaging process, based on a plurality of filter sizes, on each pixel of the two-dimensional array data; and an evaluation unit that evaluates the quality of the image using the processing results of the processing unit.

Abstract: A method for measuring volume of pomelo based on three view image contour fitting is provided, for measuring the volume of the pomelo based on images, includes: a number of image capturing devices capturing a number of surface images of a pomelo to be measured; calibrating a position of an image capturing device for capturing a top view image of the pomelo to be measured; performing enhanced extraction processing on the number of surface images, and obtaining a standard contour image; obtaining a size of each pomelo slice based on the standard contour image, and obtaining a B-spline curve by fitting a contour of the pomelo slice; and calculating volume of each pomelo slice according to the B-spline curve, and obtaining total volume of the pomelo to be measured by calculating a sum of the volume of all of the pomelo slices.