Abstract:
A calibration method calibrates a stereo camera. The calibration method includes: measuring a relative position between the stereo camera and an object that is placed so as to fall within an image capturing area of the stereo camera; acquiring a captured image that is captured by the stereo camera and includes the object; and determining a calibration parameter for calibrating the stereo camera based on the relative position and the captured image.
Abstract:
One or more systems, devices, and/ormethods foremphasizing objects in an image, such as apanoramic image,are disclosed. For example, a methodincludesreceiving a depthmap generated from an optical distancing system, wherein the depthmap includes position data and depth data for each of a plurality of points. The optical distancing system measures physical data. The depthmap is overlaid on the panoramic image according to the position data. Data is received that indicatesa location on the panoramic image and, accordingly,a first point of the plurality of points that is associated with the location. The depth data of the first point is compared to depth data of surrounding points to identifyan area on the panoramic image corresponding to a subset of the surrounding points. The panoramic image is altered with a graphical effect that indicates the location.
Abstract:
Изобретение относится к области строительства и эксплуатации подземных и наземных сооружений и может быть использовано для изучения строения и современной геодинамики земной коры и осуществления прогноза степени активизации деформационных процессов при оценке геодинамической опасности объектов, используемых при поиске, разведке и эксплуатации месторождений полезных ископаемых. Техническим результатом является повышение надежности строительства и эксплуатации сооружений. При идентификации зон геодинамической опасности сооружений проводят наземные и/или спутниковые повторные геодезические измерения земной поверхности в наблюдательных пунктах, одновременно измеряют современные вертикальные и горизонтальные смещения с погрешностями (m) не более 5 мм на 1 км, определяют амплитуду вертикальных Δ h и горизонтальных Δ L аномальных смещений земной поверхности и в случае Δ h > m и Δ L > m, определяют величину относительных вертикальных деформаций, относительных горизонтальных деформаций, определяют среднегодовую скорость относительных вертикальных деформаций, среднегодовую скорость относительных горизонтальных деформаций и делают вывод о геодинамической опасности сооружения, расположенного на этом участке земной поверхности, или для подземных сооружений.
Abstract:
Technologies are generally described for projecting structured light patterns onto an Augmented Reality (AR) scene in order to track AR camera motion in AR systems. In some examples, structured light patterns may be projected onto the AR scene from a light source in the same plane as the AR camera in order to preserve a consistent reference point for detecting the structured light pattern. The AR camera may detect the structured light patterns and determine the location of the AR camera based on a distance analysis of the detected structured light patterns. Based on the changing locations of the AR camera, the system may track the movement of the AR camera as its location relative to the AR scene changes.
Abstract:
A mobile device may determine a material-type of a surface proximate to the device and/or a distance between the device and the proximate surface, in at least one implementation. In some implementations, proximate material-type information may be used to estimate a distance between a mobile device and a proximate surface. A material class may also be determined for a proximate surface in some implementations. Various context-based applications are disclosed for material-type, material class, and/or distance information in connection with a mobile device.
Abstract:
A detector (110) for optically detecting at least one object (112) is proposed. The detector (110) comprises at least one optical sensor (114). The optical sensor (114) has at least one sensor region (116). The optical sensor (114) is designed to generate at least one sensor signal in a manner dependent on an illumination of the sensor region (116). The sensor signal, given the same total power of the illumination, is dependent on a geometry of the illumination, in particular on a beam cross section of the illumination on the sensor area (118). The detector (110) furthermore has at least one evaluation device (122). The evaluation device (122) is designed to generate at least one item of geometrical information from the sensor signal, in particular at least one item of geometrical information about the illumination and/or the object (112).