Abstract: Embodiments of systems and methods for a mobile mapping system are described. In an embodiment, a method includes capturing a plurality of images of an object point using a mobile computing platform. The method may also include determining an initial set of orientation parameters in response to one or more orientation sensors on the mobile computing platform. Additionally, the method may include calculating a corrected set of orientation parameters by matching object points in the plurality of images. Further, the method may include estimating a three-dimensional ground coordinate associated with the captured images in response to the corrected set of orientation parameters.

Abstract: A system and method for determining egomotion can include determining correspondence maps between pairs of images of an odometry set; identifying odometry features shared between the images of the odometry set; and determining the egomotion based on the odometry features.

Abstract: An information processing apparatus includes an extraction unit, a generation unit, and a combining unit. The extraction unit extracts a foreground object region from a captured image captured by an image capturing unit. The generation unit generates a mask image corresponding to the foreground object region in the captured image, and having colors different depending on luminance of the foreground object region. The combining unit combines a mask image generated by the generation unit and a predetermined image to generate an output image.

Abstract: The data representing the floor plan is processed to classify the different elements in the floor plan. This step may be carried out by processing, using at least one image classification model, different images representing different layers of the floor plan data to identify the type of elements belonging to each layer. A group of elements belonging to a subset of the classifications are then selected and used to segment the floor plan into different spaces. For example, certain boundary elements (e.g. the walls and doors) between different spaces (i.e. rooms) in the floor plan may be identified and selected. Once identified, the boundary elements may be used to segment the floor plan into different spaces, which can then be analysed to determine the characteristics of those spaces, in particular the classification of the space into a type (e.g. an intended use for the space or a type of space, such as an, office, meeting room, kitchen, etc).

Abstract: An inspection system may generate first-step images of multiple sample regions after a first process step and generate second-step images of the sample regions after a second process step, where the second process step modifies the sample in at least one of the sample regions. The system may further identify one of the sample regions as a test region and at least some of the remaining sample regions as comparison regions, where the second-step image of the test region is a test image and the second-step images of the comparison regions are comparison images. The system may further generate a multi-step difference image by subtracting a combination of at least one of the second-step comparison images and at least two of the first-step images from the test image. The system may further identify defects in the test region associated with the second process step based on the multi-step difference image.

Abstract: A method and an apparatus for inspecting tab appearance of cell assembly, an electronic device, a non-transitory computer-readable storage medium, and a computer program product are provided. The method includes: obtaining an image for inspection that includes a background region and a cell assembly image region, where the cell assembly image region includes a body zone and a plurality of tab stacking regions, each tab stacking region adjoining a top edge or a bottom edge of the body zone; determining each root corner of the plurality of tab stacking regions in the image for inspection; determining two side edges of the body zone in the image for inspection; determining at least one reference edge line in the image for inspection based on the two side edges of the body zone in the image for inspection; and determining result information of the tab appearance inspection based on each root corner of the plurality of tab stacking regions in the image for inspection and the at least one reference edge line.

Abstract: Where a highly accurate image analysis is required, for example, only RAW images selected according to specified conditions are selected and transmitted to a server. There are provided an imaging unit that is mounted on a movable device, an image signal processor that generates a color image by signal processing of the RAW image which is an output of an imaging element of the imaging unit, an image analysis unit that executes analysis processing of the color image, a transmission necessity determination unit that determines transmission necessity of the RAW image to the server, and a transmission unit that transmits the RAW image to the external server according to a determination result. The transmission necessity determination unit decides the transmission necessity of the RAW image on the basis of a transmission timing control at constant intervals, imaging and signal processing parameters, an image analysis result, device information, or the like.

Abstract: An example apparatus for generating synthesized images includes a receiver to receive a frame, a mask and external images. The apparatus also includes a foreground augmenter to generate augmented foregrounds in the frame based on the mask. The apparatus includes a background augmenter to generate augmented backgrounds based on the frame, the mask, and the external images. The apparatus also further includes an image synthesizer to generate a synthesized image based on the generated augmented foregrounds and the augmented backgrounds.

Abstract: A method of inspecting an exterior elevated element of a building is provided. The method drills a hole into an interior space of the exterior elevated element of the building. The interior space of the exterior elevated element encompasses a plurality of wooden surfaces. The method passes a camera through the hole into the interior space of the exterior elevated element of the building. The method captures a set of one or more images from the wooden surfaces in the interior space of the exterior elevated element by the camera. The method analyzes the set of images to identify one or more of color differences of the wooden surfaces, color intensity differences of the wooden surfaces, and a shape and a size of any cracks on the wooden surfaces. The method determines the existence of wood rot in the interior space of the exterior elevated element based on the analysis.

Abstract: Provided are a method and a device for real-time monitoring of tunnel deformation. The monitoring method includes: S1, erecting a plurality of structured light sources in an unstable area to be monitored of a tunnel structure, and erecting a monitoring terminal in a relatively stable region of the tunnel structure, where the monitoring terminal may communicate with the plurality of structured light sources; S2, observing all structured lights in the unstable area of the tunnel structure and obtaining structured light curves in real time by the monitoring terminal; S3, analyzing imaging changes of the structured lights, detecting deformation degrees and offset distances of the tunnel in real time, and monitoring the diseases such as settlement, convergence of a single-section of the tunnel and integral settlement of a multi-section of the tunnel by the data processing unit.

Abstract: The disclosed apparatus, systems and methods relate to a framelet-based iterative algorithm for polychromatic CT which can reconstruct two components using a single scan. The algorithm can have various steps including a scaled-gradient descent step of constant or variant step sizes; a non-negativity step; a soft thresholding step; and a color reconstruction step.

Abstract: Provided are a method for converting a picture into a video, a device, and a storage medium. The method for converting a picture into a video includes the following: performing color fading processing on an original picture to obtain a black-and-white image; determining a foreground area and a background area of the black-and-white image; performing iterative color restoration on pixels in the black-and-white image based on a processing order of the foreground area and the background area, and storing the image obtained by each restoration as a picture frame to obtain multiple frames of images; and splicing the multiple frames of images to obtain a target video.

Abstract: It is possible to inhibit deterioration of extraction precision of a subject and reliably extract the subject even when colors of the subject and a background are the same or similar. An image processing device 1 includes an input unit 11 configured to input a first invisible light image of only a background in which a subject is not included and a second invisible light image in which the subject and the background are included and a subject region extraction unit 15 configured to calculate a difference between a pixel value of each pixel of the second invisible light image and a pixel value of a corresponding pixel of the first invisible light image, determine whether the pixel is in a subject region or a background region in accordance with whether the difference is equal to or greater than a predetermined threshold, and extract the subject region from the second invisible light image.

Abstract: Methods, systems, and non-transitory computer readable media are disclosed for generating a composite image comprising objects in positions from two or more different digital images. In one or more embodiments, the disclosed system receives a sequence of images and identifies objects within the sequence of images. In one example, the disclosed system determines a target position for a first object based on detecting user selection of the first object in the target position from a first image. The disclosed system can generate a fixed object image comprising the first object in the target position. The disclosed system can generate preview images comprising the fixed object image with the second object sequencing through a plurality of positions as seen in the sequence of images. Based on a second user selection of a desired preview image, the disclosed system can generate the composite image.

Abstract: A method for edge identification of a self-shadowing object based on a visual camera and a vehicle includes: collecting image data of an object to be identified, and performing differentiation processing; according to a preset threshold, performing three-value processing to the image that has been differentiation-processed, to acquire a three-value-processed image including positive-direction boundary pixels and negative-direction boundary pixels; according to the positive-direction boundary pixels and the negative-direction boundary pixels, acquiring a positive-direction straight linear segment and a negative-direction straight linear segment that represent boundary trends of the object to be identified; if the straight linear segments do not create a target object that satisfy a predetermined condition, determining the first boundary according to the predetermined condition; according to the first boundary, determining the second boundary; and by using positions of the first boundary and the second boundary

Abstract: In one embodiment, a method includes the steps of capturing an image from a camera viewpoint, the image depicting a physical keyboard, detecting one or more shape features of the physical keyboard depicted in the image by comparing pixels of the image to a predetermined shape template, the predetermined shape template representing visual characteristics of spaces between keyboard keys, accessing predetermined shape features of a keyboard model associated with the physical keyboard, and determining a pose of the physical keyboard based on comparisons between (1) the detected one or more shape features of the physical keyboard and (2) projections of the predetermined shape features of the keyboard model toward the camera viewpoint.

Abstract: An image processing method and component, an electronic device, and a computer-readable storage medium are provided. The component includes at least a display control and a local retouching control. The display control is configured to display, in a first area of a display area, a to-be-edited image or a target image obtained by retouching the to-be-edited image. The local retouching control is configured to activate a local retouching function in response to a control instruction, to determine a local adjustable area for local retouching, where the local adjustable area is selected from the to-be-edited image or the target image based on a selection operation performed on the to-be-edited image or the target image, and the local adjustable area is displayed via a preset mask to be distinguished from other areas in the to-be-edited image or the target image.

Abstract: A system and method for monitoring a roadway by comparing captured images to image inconsistencies caused by lost or unnecessary motion and for minimizing lost or unnecessary motion of an axle of a vehicle and filtering erroneous pulses of an electrical signal to generate a trigger signal to capture images is presented. The system enables the minimization of image artifacts causing distortion in an image. The system can take images of a target, compute an object pixel size of the image to ensure calibration of longitudinal measurements, and calibrate the rotary encoder with the camera of the machine vision system. The system can enable calibration of the locomotive components in the field to compensate for the misalignment of the machine vision system and provide safe travels.

Abstract: Systems and methods are provided for color-enhancing satellite data in a manner that is specific to the true color ocean signal, i.e., the light that is emanating from the ocean surface. These color enhanced images, in turn, can be used as a scientific research and monitoring tool for studying the coastal ocean.

Abstract: Systems and methods for displaying super saturated color. Image data for display on a display or viewing device with a potential white luminance in a standard system with a maximum luminance is processed such that colors near the white point are reduced to a limited luminance. As the chroma of the displayed color is increased, a luminance attenuation is decreased. The scaling of the reduction is operable to be a linear function, a non-linear function, or any other function.