The present disclosure discloses a display and input apparatus, including a display panel and an image sensor module. The display panel includes a display substrate, a display array, and a cover plate; a display pixel includes at least two types of sub-pixels that emit lights of different colors; a slit is disposed between pixel electrodes of two adjacent sub-pixels; in the display array, a pixel definition layer is disposed along the slit, and a plano-concave lens array is disposed along the pixel definition layer; each of the plano-concave lenses has its optical axis perpendicular to the display panel and passing through the center of the slit; and during image sensing, the display pixel emits light and illuminates an imaging object on the cover plate, and the image sensor module acquires a reflected image from a surface of the imaging object.

The present disclosure discloses a display and input apparatus, including a display panel and an image sensor module. The display panel includes a display substrate, a display array, and a cover plate; a display pixel includes at least two types of sub-pixels that emit lights of different colors; a slit is disposed between pixel electrodes of two adjacent sub-pixels; in the display array, a pixel definition layer is disposed along the slit, and a plano-concave lens array is disposed along the pixel definition layer; each of the plano-concave lenses has its optical axis perpendicular to the display panel and passing through the center of the slit; and during image sensing, the display pixel emits light and illuminates an imaging object on the cover plate, and the image sensor module acquires a reflected image from a surface of the imaging object.

An image processing method, an image processing apparatus, an electronic device and a computer readable storage medium are provided. The image processing method includes the following. A background image and a portrait region image of a current user that a preset parameter of the background image matching the preset parameter of the portrait region image are acquired. The portrait region image and the background image are merged to obtain a merged image.

The application provides an image acquisition apparatus, a server, and encryption and decryption methods, and relates to the field of data processing. The image acquisition apparatus includes: an image acquisition device including an encryption processor and a data interface provided in the image acquisition device, wherein the encryption processor is configured to encrypt, by using a stored first key, image data acquired by the image acquisition device to obtain image ciphertext data; the data interface is configured to obtain the image ciphertext data and output the image ciphertext data to a terminal device. With the technical solution of the application, security of the image data can be ensured.

A biometric authentication system comprising headwear comprising a plurality of biosensors each configured to sample muscle activity so as to obtain a respective time-varying signal; a data store for storing a data set representing characteristic muscle activity for one or more users; and a processor configured to process the time-varying signals from the biosensors in dependence on the stored data set so as to determine a correspondence between a time-varying signal and characteristic muscle activity of one of the one or more users, and in dependence on the determined correspondence, authenticate the time-varying signals as being associated with that user.

A surveillance system for detecting an object within a monitored infrastructure and to a hybrid 3D surveying device, wherein a LiDAR device is configured that scanning is carried out with respect to two essentially orthogonal axes and wherein the LiDAR device comprises a cover mounted on the base, such that the base and the cover form an enclosure that encloses all moving parts of the LiDAR device, wherein the cover is configured to be opaque for visible light and translucent for the wavelength range of the LiDAR transmission radiation. The system further comprises a computing unit configured for processing the LiDAR measurement data to generate a 3D point cloud of the monitored infrastructure, and an object detector configured for classification of the object based on the 3D point cloud.

A light emitting user input device can include a touch sensitive portion configured to accept user input (e.g., from a user's thumb) and a light emitting portion configured to output a light pattern. The light pattern can be used to assist the user in interacting with the user input device. Examples include emulating a multi-degree-of-freedom controller, indicating scrolling or swiping actions, indicating presence of objects nearby the device, indicating receipt of notifications, assisting pairing the user input device with another device, or assisting calibrating the user input device. The light emitting user input device can be used to provide user input to a wearable device, such as, e.g., a head mounted display device.

A light emitting user input device can include a touch sensitive portion configured to accept user input (e.g., from a user's thumb) and a light emitting portion configured to output a light pattern. The light pattern can be used to assist the user in interacting with the user input device. Examples include emulating a multi-degree-of-freedom controller, indicating scrolling or swiping actions, indicating presence of objects nearby the device, indicating receipt of notifications, assisting pairing the user input device with another device, or assisting calibrating the user input device. The light emitting user input device can be used to provide user input to a wearable device, such as, e.g., a head mounted display device.

In one embodiment, a method of machine learning and/or image processing for spectral object classification is described. In another embodiment, a device is described for using spectral object classification. Other embodiments are likewise described.

In one embodiment, a method of machine learning and/or image processing for spectral object classification is described. In another embodiment, a device is described for using spectral object classification. Other embodiments are likewise described.