Abstract: An optical diffuser includes optically anisotropic molecules arranged in a predefined configuration such that the optical diffuser diffuses first light having a first polarization and transmits second light having a second polarization that is different from the first polarization upon receiving the second light. In addition to polarization selectivity, the optical diffuser may also exhibit wavelength selectivity and/or incident angle selectivity. A method of diffusing light using the optical diffuser and a method of making the optical diffuser are also disclosed.

Abstract: The present disclosure concerns a device for identifying a chemical composition of particulate matter comprised in an aerosol. The device comprises an impactor arranged to divert a received aerosol stream to a sensing stream having an increased particulate matter concentration. The device further comprises an optical flow cell arranged to guide a received sensing stream along an elongate hollow wave guide defining a gas flow path and an optical path following at least in part a common trajectory so as to allow light travelling along said common trajectory to interact with the particulate matter comprised in the sensing stream. A chemical composition of the particulate matter comprised in an aerosol may be determined from a particle specific absorption peak. A particle concentration may be determined from a peak intensity.

Abstract: The disclosure provides a method for defect classification, including: extracting a low-level feature of a defect region from a defect image; encoding the low-level feature by using a defect dictionary to obtain a middle-level semantic feature corresponding to the low-level feature; classifying a defect in the defect region of the defect image into one of a plurality of defect categories based on the middle-level semantic feature, wherein the defect dictionary includes a defect intra-category dictionary and a defect inter-category dictionary.

Abstract: Various embodiments provide for a pre-validation of various aspects of an application deployment before any resources are provisioned in a user account. Pre-validation can perform checks on aspects such as connectivity and credential-based access for instances to be provisioned in a user account. A determination can also be made as to whether a role exists in the user account that has the appropriate policies and permissions to enable these instances, if provisioned, to have access to external services and resources needed to support the application. These checks can be performed through a launch wizard or deployment service that can collect information though a single console, and can ensure that these checks succeed before the requested instances are provisioned in the user account.

Abstract: A charge release circuit includes a plurality of pixel circuits and at least one photosensitive control circuit, and each photosensitive control circuit is connected to at least one pixel circuit. Each pixel circuit of the at least one pixel circuit includes: a discharge circuit connected to the photosensitive control circuit, and a first capacitor connected to the discharge circuit and configured to store a display driving signal. The photosensitive control circuit is configured to control the discharge circuit to be turned on in a state where a backlight of a display device is turned off to release residual charges in the first capacitor.

Abstract: A method for detecting dirt on a screen, a device for the same, an electronic device and a computer-readable storage medium are provided. The method includes acquiring a first image of the screen when the screen is displaying a first picture, determining a dirt detection area in the first image with a mask image, and detecting a position of the dirt within the dirt detection area. With the method provided by the embodiments of the disclosure, the positon of dirt on the screen could be detected based on at most two images of the screen. The time for detecting dirt on the screen is greatly shortened, and the efficiency of detection is enhanced.

Abstract: A method for detecting image defects is described, which includes obtaining an image to be detected, down-sampling the image to be detected to obtain a down-sampled image, de-cluttering the down-sampled image to obtain a de-cluttered image, restoring the de-cluttered image into a restored image having the same resolution as the image to be detected so as to be used as a background image, and comparing the image to be detected with the background image to determine defects in the image to be detected. An apparatus for detecting image defects, a computing device and a storage medium are also described.

Abstract: An image classification method, a computer device, and a medium are disclosed. The method includes: acquiring a middle-level semantic feature of an image to be classified through a visual dictionary; and classifying the image to be classified according to the middle-level semantic feature of the image to be classified using a classification model based on middle-level semantic features.

Abstract: An image registration method, an image registration device, and a storage medium. The image registration method includes: causing a display device to display at least one spot array; obtaining a feature image, and performing a feature-based image registration operation on the feature image to obtain at least one transformed image; and obtaining a mapping model based on the at least one transformed image. The feature image is an image which is shown on the display device and displays the at least one spot array.

Abstract: The disclosure provides a method for defect classification, including: extracting a low-level feature of a defect region from a defect image; encoding the low-level feature by using a defect dictionary to obtain a middle-level semantic feature corresponding to the low-level feature; classifying a defect in the defect region of the defect image into one of a plurality of defect categories based on the middle-level semantic feature, wherein the defect dictionary includes a defect intra-category dictionary and a defect inter-category dictionary.

Abstract: A pixel unit includes a plurality of sub-pixels adjacently arranged in sequence. The plurality of sub-pixels are configured to alternately display different colors in time sequence. The plurality of sub-pixels include a first sub-pixel and a second sub-pixel, and the first sub-pixel and the second sub-pixel are configured to alternately display different colors.

Abstract: An image classification method, a computer device, and a medium are disclosed. The method includes: acquiring a middle-level semantic feature of an image to be classified through a visual dictionary; and classifying the image to be classified according to the middle-level semantic feature of the image to be classified using a classification model based on middle-level semantic features.

Abstract: A method for detecting dirt on a screen, a device for the same, an electronic device and a computer-readable storage medium are provided. The method includes acquiring a first image of the screen when the screen is displaying a first picture, determining a dirt detection area in the first image with a mask image, and detecting a position of the dirt within the dirt detection area. With the method provided by the embodiments of the disclosure, the positon of dirt on the screen could be detected based on at most two images of the screen. The time for detecting dirt on the screen is greatly shortened, and the efficiency of detection is enhanced.

Abstract: A method for detecting image defects is described, which includes obtaining an image to be detected, down-sampling the image to be detected to obtain a down-sampled image, de-cluttering the down-sampled image to obtain a de-cluttered image, restoring the de-cluttered image into a restored image having the same resolution as the image to be detected so as to be used as a background image, and comparing the image to be detected with the background image to determine defects in the image to be detected. An apparatus for detecting image defects, a computing device and a storage medium are also described.

Abstract: A charge release circuit includes a plurality of pixel circuits and at least one photosensitive control circuit, and each photosensitive control circuit is connected to at least one pixel circuit. Each pixel circuit of the at least one pixel circuit includes: a discharge circuit connected to the photosensitive control circuit, and a first capacitor connected to the discharge circuit and configured to store a display driving signal. The photosensitive control circuit is configured to control the discharge circuit to be turned on in a state where a backlight of a display device is turned off to release residual charges in the first capacitor.

Abstract: An image registration method, an image registration device, and a storage medium. The image registration method includes: causing a display device to display at least one spot array; obtaining a feature image, and performing a feature-based image registration operation on the feature image to obtain at least one transformed image; and obtaining a mapping model based on the at least one transformed image. The feature image is an image which is shown on the display device and displays the at least one spot array.