A method for detecting a displacement of a mobile platform includes obtaining a first frame and a second frame using an imaging device associated with the mobile platform and determining the displacement of the mobile platform based upon the first frame and the second frame.

A system includes an inertial measurement unit (IMU) associated with a user, wherein the IMU acquires acceleration data and determines gravity data during a period of time, wherein the IMU acquires magnetic orientation data and heading data during the period of time, and wherein the IMU outputs gravity data and heading data to a processing unit, a camera for acquiring images of the user including the IMU during the period of time, and the processing unit for determining an orientation of a portion of a model of the user in response to the images of the user, for determining calibration data for the portion of the model of the user in response to the orientation of the portion of the model, the gravity data, and the heading data.

A distance measuring apparatus includes: an acquisition unit that acquires a first image at a first viewpoint where an object is irradiated with a first light including a pattern, a second image at a second viewpoint different from the first viewpoint where the object is irradiated with the first light, a third image at the first viewpoint where the object is irradiated with a second light not including a pattern, and a fourth image at the second viewpoint where the object is irradiated with the second light; and a control unit that acquires information corresponding to a distance, by employing a fifth image obtained based on a ratio the first image and the third image and a sixth image obtained based on a ratio of the second image and the fourth image.

A distance measuring apparatus includes: an acquisition unit that acquires a first image at a first viewpoint where an object is irradiated with a first light including a pattern, a second image at a second viewpoint different from the first viewpoint where the object is irradiated with the first light, a third image at the first viewpoint where the object is irradiated with a second light not including a pattern, and a fourth image at the second viewpoint where the object is irradiated with the second light; and a control unit that acquires information corresponding to a distance, by employing a fifth image obtained based on a ratio the first image and the third image and a sixth image obtained based on a ratio of the second image and the fourth image.

Features of the surface of an object of interest captured in a two-dimensional (2D) image are identified and marked for use in point matching to align multiple 2D images and generating a point cloud representative of the surface of the object in a photogrammetry process. The features which represent actual surface features of the object may have their local contrast enhanced to facilitate their identification. Reflections on the surface of the object are suppressed by correlating such reflections with, e.g., light sources, not associated with the object of interest so that during photogrammetry, such reflections can be ignored, resulting in the creation of a 3D model that is an accurate representation of the object of interest. Prior to local contrast enhancement and the suppression of reflection information, identification and isolation of the object of interest can be improved through one or more filtering processes.

Features of the surface of an object of interest captured in a two-dimensional (2D) image are identified and marked for use in point matching to align multiple 2D images and generating a point cloud representative of the surface of the object in a photogrammetry process. The features which represent actual surface features of the object may have their local contrast enhanced to facilitate their identification. Reflections on the surface of the object are suppressed by correlating such reflections with, e.g., light sources, not associated with the object of interest so that during photogrammetry, such reflections can be ignored, resulting in the creation of a 3D model that is an accurate representation of the object of interest. Prior to local contrast enhancement and the suppression of reflection information, identification and isolation of the object of interest can be improved through one or more filtering processes.

A method and device for displaying desired positions in a live image of a construction site. The method mat include recording at least one position-referenced image of the construction site; linking at least one desired position to the position-referenced image; storing the position-referenced image together with desired position linkage in an electronic memory; recording a live image of the construction site, in particular in the form of a video, wherein the live image and the position-referenced image at least partially represent an identical detail of the construction site; retrieving the stored position-referenced image from the memory; fitting the position-referenced image with the live image, so that the desired position linked to the position-referenced image can be overlaid in a position-faithful manner on the live image; and position-faithful display of the desired position as a graphic marking in the live image.

A method and device for displaying desired positions in a live image of a construction site. The method mat include recording at least one position-referenced image of the construction site; linking at least one desired position to the position-referenced image; storing the position-referenced image together with desired position linkage in an electronic memory; recording a live image of the construction site, in particular in the form of a video, wherein the live image and the position-referenced image at least partially represent an identical detail of the construction site; retrieving the stored position-referenced image from the memory; fitting the position-referenced image with the live image, so that the desired position linked to the position-referenced image can be overlaid in a position-faithful manner on the live image; and position-faithful display of the desired position as a graphic marking in the live image.

An unmanned aerial vehicle calibration method and system based on a color 3D calibration object. The method comprises: placing a color chequerboard 3D calibration object in a scene to be photographed; using an unmanned aerial vehicle to photograph images of the color chequerboard 3D calibration object from at least three different orientations; using a vanishing point theory to linearly solve the internal parameters of a camera of the unmanned aerial vehicle according to the photographed images of the color chequerboard 3D calibration object; and using a coordinate projection transformation method to determine a geometric constraint relationship between a spatial position and the images of the camera of the unmanned aerial vehicle according to the internal parameters of the camera of the unmanned aerial vehicle.

A system includes an inertial measurement unit (IMU) associated with a user, wherein the IMU acquires acceleration data and determines gravity data during a period of time, wherein the IMU acquires magnetic orientation data and heading data during the period of time, and wherein the IMU outputs gravity data and heading data to a processing unit, a camera for acquiring images of the user including the IMU during the period of time, and the processing unit for determining an orientation of a portion of a model of the user in response to the images of the user, for determining calibration data for the portion of the model of the user in response to the orientation of the portion of the model, the gravity data, and the heading data.