A vehicular sensing system includes at least one MIMO radar sensor disposed at the vehicle and sensing exterior and forward of the vehicle. The at least one MIMO radar sensor includes multiple transmitting antennas and multiple receiving antennas. The transmitting antennas transmit radar signals and the receiving antennas receive radar signals. Radar data captured by the at least one MIMO radar sensor is provided to an electronic control unit (ECU). The ECU includes a processor and, responsive at least in part to processing at the ECU of provided captured radar data and vehicle motion information, determines different types of surfaces sensed by the at least one MIMO radar sensor. Responsive at least in part to processing at the ECU of provided captured radar data, the vehicular sensing system provides an output for at least one driving assist system.

A vehicular sensing system includes at least one MIMO radar sensor disposed at the vehicle and sensing exterior and forward of the vehicle. The at least one MIMO radar sensor includes multiple transmitting antennas and multiple receiving antennas. The transmitting antennas transmit radar signals and the receiving antennas receive radar signals. Radar data captured by the at least one MIMO radar sensor is provided to an electronic control unit (ECU). The ECU includes a processor and, responsive at least in part to processing at the ECU of provided captured radar data and vehicle motion information, determines different types of surfaces sensed by the at least one MIMO radar sensor. Responsive at least in part to processing at the ECU of provided captured radar data, the vehicular sensing system provides an output for at least one driving assist system.

Systems and methods are provided for computer aided phenotyping of fibrosis-related conditions. A digital image indicates presence of collagens in a biological tissue sample. The image is processed to quantify parameters, each parameter describing a feature of the collagens that is expected to be different for different phenotypes of fibrosis. At least some features are tissue level features that describe macroscopic characteristics of the collagens, morphometric level features that describe morphometric characteristics of the collagens, and texture level features that describe an organization of the collagens. At least some of the plurality of parameters are statistics associated with histograms corresponding to distributions of the associated parameters across at least some of the digital image. At least some of the plurality of parameters are combined to obtain one or more composite scores that quantify a phenotype of fibrosis for the biological tissue sample.

The disclosed devices, systems and methods relate to various devices, systems and methods related to objectively analyzing digital images of turfgrass to rate various parameters and to objectively measure overall quality. The system establishes thresholds and may execute a series of steps to determine green coverage, color, density, and uniformity. The system can scale images to determine uniformity.

The present application provides an identity authentication method and an apparatus. The method may include obtaining a sequence of depth images containing a target face and a sequence of original two-dimensional (2D) images containing the target face, and performing identity authentication. The identity authentication may be conducted by: calculating a target face three-dimensional (3D) texture image according to the depth images containing the target face and the original 2D images containing the target face; projecting the target face 3D texture image to a 2D plane to obtain a target face 2D image; extracting feature information from the target face 2D image; comparing the feature information of the target face 2D image with feature information of a reference face 2D image to determine a similarity value; and in response to that the similarity value exceeds a first threshold, determining that the identity authentication succeeds.

The present application provides an identity authentication method and an apparatus. The method may include obtaining a sequence of depth images containing a target face and a sequence of original two-dimensional (2D) images containing the target face, and performing identity authentication. The identity authentication may be conducted by: calculating a target face three-dimensional (3D) texture image according to the depth images containing the target face and the original 2D images containing the target face; projecting the target face 3D texture image to a 2D plane to obtain a target face 2D image; extracting feature information from the target face 2D image; comparing the feature information of the target face 2D image with feature information of a reference face 2D image to determine a similarity value; and in response to that the similarity value exceeds a first threshold, determining that the identity authentication succeeds.

A method of displaying augmented reality content on a physical surface is disclosed. A surface complexity measure is determined for the physical surface from a captured image of the physical surface. A content complexity measure is determined for the augmented reality content to be applied to the physical surface. The content complexity measure represents an amount of fine detail in the augmented reality content. The method determines if the amount of fine detail in the augmented reality content is to be modified, based on a function of the surface complexity measure and said content complexity measure. A display attribute of the augmented reality content is adjusted to modify the fine detail in the augmented reality content. The modified augmented reality content is displayed on the physical surface.

A method of displaying augmented reality content on a physical surface is disclosed. A surface complexity measure is determined for the physical surface from a captured image of the physical surface. A content complexity measure is determined for the augmented reality content to be applied to the physical surface. The content complexity measure represents an amount of fine detail in the augmented reality content. The method determines if the amount of fine detail in the augmented reality content is to be modified, based on a function of the surface complexity measure and said content complexity measure. A display attribute of the augmented reality content is adjusted to modify the fine detail in the augmented reality content. The modified augmented reality content is displayed on the physical surface.

The present invention provides quantification and imaging methods and a system of the echo-texture feature, comprising: obtaining an ultrasonic image; calculating all the pixel values in a selected ROI of the ultrasonic image to obtain a regional standard deviation; excluding pixels with a pixel value smaller than a multiple of the regional standard deviation in the selected ROI; counting a set of pixels centered around a N.sup.th pixel to gather a N.sup.th local mean, a N.sup.th local variance and a N.sup.th local coefficient of variance corresponding the set of pixel values, wherein N is from 1 to the number of the pixels remaining in the selected ROI; and obtaining an echo-texture index according to the local means, the local variances, or the local coefficient of variances. The imaging of echo texture which shows the echo texture distribution of the selected ROI with a color scale changing continuously from red to blue is also included. A parameter is provided to adjust the visualization enhancement of the echo texture.

The present invention provides quantification and imaging methods and a system of the echo-texture feature, comprising: obtaining an ultrasonic image; calculating all the pixel values in a selected ROI of the ultrasonic image to obtain a regional standard deviation; excluding pixels with a pixel value smaller than a multiple of the regional standard deviation in the selected ROI; counting a set of pixels centered around a N.sup.th pixel to gather a N.sup.th local mean, a N.sup.th local variance and a N.sup.th local coefficient of variance corresponding the set of pixel values, wherein N is from 1 to the number of the pixels remaining in the selected ROI; and obtaining an echo-texture index according to the local means, the local variances, or the local coefficient of variances. The imaging of echo texture which shows the echo texture distribution of the selected ROI with a color scale changing continuously from red to blue is also included. A parameter is provided to adjust the visualization enhancement of the echo texture.