Systems, apparatuses, and methods are described for allowing a motion-detecting system to distinguish and/or mask motion that originates from a display screen. One method includes: capturing, by a computing device associated with a motion detector, an image of a field of view of the motion detector. The computing device may determine, based on object recognition, one or more candidate display areas within the image of the field of view. Based on the determined candidate display areas within the image, the computing device may generate a mask corresponding to the field of view. The computing device may exclude, from motion detection, motion occurring within the mask of the field of view.

Implementations relate to dynamic adaptation of images for projection by a projector, based on one or more properties of user(s) that are in an environment with the projector. The projector can be associated with an automated assistant client of a client device. In some versions of those implementations, a pose of a user in the environment is determined and, based on the pose, a base image for projecting onto a surface is warped to generate a transformed image. The transformed image, when projected onto a surface and viewed from the pose of the user, mitigates perceived differences relative to the base image.

An X-ray apparatus includes a two-dimensional pixel array having rectangular pixels outputting an electrical signal responsively to an incident X-ray photon. This array has a row direction oblique to a scan direction. When viewing in the scan direction, a pixel group is provided solely or repeatedly, the pixel group being composed of M rows N pieces of pixels (M is a positive integer equal to or larger than 1, N is a positive integer equal to or larger than 2, and M and N have a relationship of prime numbers). The pixel group occupies a quadrangle whose diagonal line is parallel with the scan direction. In a memory space, the frame data from the pixels are converted to frame data in a Cartesian coordinate system having a row direction which is in parallel with the scan direction and a column direction orthogonal to the row direction.

Photographs can sometimes be altered or changed in order to create photographs which appear to be of a scene which never took place, or did not take place at the place and time when the photograph is purported to have been taken. One way of circumventing known systems to detect this sort of falsified image is to take a photograph of a printed altered image. The present invention is a method of detecting such photographs of photographs by comparing two photographs of the same seen taken at the same time, with different exposures.

A computer-implemented method of detecting object distortion. The method includes receiving sensor data generated by one or more sensors of the vehicle. The one or more sensors are configured to sense an environment through which the vehicle is moving by following a scan pattern. The method also includes obtaining, based on the sensor data, a point cloud frame representative of the environment and identifying a point cloud object within the point cloud frame. Additionally, the method includes analyzing the point cloud object to identify a feature of the point cloud object that has an expected shape and comparing the feature of the point cloud object to the expected shape. The method also includes identifying that the point cloud object is distorted based on the feature of the point cloud object not matching the expected shape.

A method for checking the completeness of a container provided with a plurality of objects by means of a 3D camera includes providing a three-dimensional image of the objects and a multi-ROI. The multi-ROI includes a plurality of ROIs which have a user-settable shape and are arranged within the multi-ROI in a user-settable number of rows, columns and raster type, including a learning mode and a temporally subsequent working mode.

Methods, apparatuses and computer programs for image processing are provided. A sequence of images, in particular, is processed in this case. The images are subdivided into tiles and the tiles are transformed into the frequency domain. By evaluating the argument of the spectral density in the frequency domain, it is possible to identify and rectify disturbances which, for example, are caused by air disturbances (flickering).

A method for reconstructing a three-dimensional space scene based on photographing is disclosed, comprising the following steps: S1, importing photos of all spaces, and making the photos correspond to a three-dimensional space according to directions and viewing angles during capture, so that a viewing direction of each pixel, when viewed from the camera position of the three-dimensional space, is in line with that during capture; S2, regarding a room as a set of multiple planes, determining a first plane, and then determining all the planes one by one according to relationships and intersections between the planes; S3, marking a spatial structure of the room by a marking system and obtaining dimension information; and S4, establishing a three-dimensional space model of the room by point coordinate information collected in the step S3. In the present disclosure, the three-dimensional space model of a scene including dimensions and texture can be restored with no details lost; meanwhile, the three-dimensional space scene can be edited and modified quickly and conveniently, and a two-dimensional floor plan with dimensions and adequate accuracy can also be generated.

Systems and methods for digitized document image data spillage recovery are provided. One or more memories may be coupled to one or more processors, the one or more memories including instructions operable to be executed by the one or more processors. The one or more processors may be configured to capture an image; process the image through at least a first pass to generate a first contour; remove a preprinted bounding region of the first contour to retain text; generate one or more pixel blobs by applying one or more filters to smudge the text; identify the one or more pixel blobs that straddle one or more boundaries of the first contour; resize the first contour to enclose spillage of the one or more pixel blobs; overlay the text from the image within the resized contour; and apply pixel masking to the resized contour.

An image processing device may include a first image acquisition part configured to acquire first image data including an information recording medium captured under irradiation of light of a first wavelength range, an angle calculation part configured to calculate an inclination angle of the information recording medium based on the first image data, a second image acquisition part configured to acquire second image data including the information recording medium captured at the same position under irradiation of light of a second wavelength range which is different from the first wavelength range and in which contrast of an outline of the information recording medium is low, and an angle correction part configured to prepare corrected image data of the second image data in which an angle correction of the information recording medium is performed based on the inclination angle calculated by the angle calculation part.