The invention discloses a powder leakage monitoring device and a powder leakage monitoring method. The powder leakage monitoring device comprises a light field camera, a 3D PTZ and a computer. Wherein, the light field camera records the original light field images of the monitored area; the 3D PTZ under the light field camera adjusts the shooting angle of the light field camera when it rotates according to the set direction; and the computer respectively connects to the light field camera and the 3D PTZ, which generates refocused images corresponding to the original light field images, and determines the spatial coordinates of the powder leakage point and the hazard range of the powder leakage in the monitored area according to the refocused images and the shooting angle. Therefore, the range and accuracy of powder leakage monitoring are both increased by using this invention.

The invention relates to a method for digitally staining a cell and/or a medical preparation, the method comprising the following steps: determining three-dimensional information of a cell and/or of a medical preparation by means of an analyser for analysing a medical sample, the analyser comprising an apparatus for determining the three-dimensional information of the cell and/or of the medical preparation; digitally staining the cell and/or the medical preparation according to a predetermined correlation between the three-dimensional information of the cell and/or of the medical preparation and the staining of a corresponding cell and/or medical preparation and/or cellular and/or sub-cellular structures of the cell and/or of the medical preparation by means of a staining protocol; representing the digitally stained cell and/or the preparation, the representation involving a predetermined defocus region, and regions of the cell and/or of the preparation being represented by means of different digital staining in the area of the defocus region as corresponding modulations of colour intensities and/or as mixed colour.

A robot climbing control method is disclosed. The method obtains an RGB color image and a depth image of stairs, extracts an outline of a target object of a target step on the stairs from the RGB color image, determines relative position information of the robot and the target step according to the depth image and the outline of the target object, and controls the robot to climb the target step according to the relative position information. The embodiment of the present disclosure allows the robot to effectively adjust postures and forward directions on any size of and non-standardized stairs and avoids the deviation of the walking direction, thereby improving the effectiveness and safety of the stair climbing of the robot.

A field of view of a captured image of a lensless camera can be controlled, and a configuration of generating a restored image including part of an imaging region is realized. Included is a signal processing unit that receives observed image signals as output of an image sensor of a lensless camera to generate a restored image of a restored image region including part of a captured image region of the lensless camera. The signal processing unit includes: a restored image region corresponding mask matrix calculation unit that calculates a restored image region corresponding mask matrix applied to generate the restored image; and an image estimation unit that subtracts observed image signals outside of the restored image region not included in the restored image region from the observation image signals to calculate observed image signals inside of the restored region and that executes arithmetic processing of the observed image signals inside of the restored region and a pseudo-inverse matrix or an inverse matrix of the restored image region corresponding mask matrix to generate the restored image.

An image restoration apparatus generates a plurality of warped images by warping each of a plurality of input images based on respective depths corresponding to a plurality of disparities, and generates an output image with a high resolution based on the plurality of input images and the plurality of warped images using an image restoration model.

Techniques for automatic measurement using structured lights are provided. A computer system uses structured lights to acquire skin information, the skin information being associated with at least one affected area of the skin. The computer system determines parameters related to the at least one affected area of the skin, at least partly, on the skin information and generates an assessment for the at least one affected area of the skin.

System, methods, and other embodiments described herein relate to an improved camera system including directional optics to estimate the depth of grayscale and color images. In one embodiment, a camera system includes a graded lens to receive light associated with a scene and resolve multiple angles of the light according to parameters of the graded lens. The camera system also includes a detector that senses the light from the graded lens per pixel to integrate multiple views of the scene into a single image to estimate depth associated with objects and the single image includes data for views of the objects that overlap having resolved angles in association with the parameters.

A system for managing treatment of a person in need of emergency assistance is provided. The system includes at least one camera configured to be mounted to a person in need of medical assistance. The system also includes an image processing device, which can be configured to receive images captured by the at least one camera and to process the images to generate a representation of a rescue scene surrounding the person. The system further includes an analysis device. The analysis device can be configured to determine a characteristic associated with a resuscitation activity based on analysis of the representation of the rescue scene generated by the image processing device. A computer-implemented method for managing treatment of a person in need of emergency assistance is also provided.

A method and apparatus for creating an adaptive mosaic pixel-wise virtual Bayer pattern. The method may include receiving a plurality of monochromatic images from an array of imaging elements, creating a reference ordered set at infinity from the plurality of monochromatic images, running a demosaicing process on the reference ordered set, and creating a color image from the demosaiced ordered set. One or more offset artifacts resulting from the demosaicing process may be computed at a distance other than infinity, the ordered set may be modified in accordance with the computed offsets.

The present technology relates to an information processing device, an information processing method, a program, and an information processing system for enabling reduction in a load by enabling selective arithmetic processing in performing imaging without using an imaging lens. The information processing device includes an acquisition unit configured to acquire a detection image output from an imaging element that receives incident light incident without through an imaging lens, and restoration information including setting information set by a user and to be used to generate a restoration image from the detection image, a restoration processing unit configured to perform restoration processing of generating the restoration image using the detection image and the restoration information, and an output control unit configured to control an output of the restoration image. The present technology can be applied to, for example, a device or a system that restores a detection image captured by a lensless camera.