Abstract: Techniques for automatic detection of a presentation surface and generation of an associated data stream include receiving, in connection with a communication session, a first media stream capturing a portion of an environment including a presentation surface; detecting the presence in the first media stream of the presentation surface; detecting usage of the presentation surface during the conferencing session; generating, in response to the detected usage of the presentation surface, a second media stream dedicated to the presentation surface from the first media stream; and transmitting the second media stream dedicated to the presentation surface to one or more recipient devices.

Abstract: A method and system for providing an enhanced video stream includes receiving a video stream captured by a camera positioned to include a target in a camera field of view and entering a detection mode to detect the target in the received video stream, before detecting the target in the video stream. Upon detecting the target in the video stream, the method automatically switches from the detection mode to an enhancement mode configured to process the video stream to obtain an enhanced video stream of the detected target. The enhanced video stream is then presented for display on a display device, while a position of at least one of the camera or the target are monitored while presenting the enhanced video stream for display. The method and system then detects a change in the position of at least one of the camera or the target, and upon detecting the change in the position, automatically generates a signal to switch back to the detection mode and detect a position of the target in the video stream.

Abstract: Methods and systems for controlling a computing-based device based on gestures made within a predetermined range of a camera wherein the predetermined range is a subset of the field of view of the camera. Any gestures made outside of the predetermined range are ignored and do not cause the computing-based device to perform any action. In some examples, the gestures are used to control a drawing canvas that is implemented in a video conference session. In these examples, a single camera may be used to generate an image of a video conference user which is used to detect gestures in the predetermined range and provide other parties to the video conference session a visual image of the user.

Abstract: A method of sensing depth using an RGB camera. In an example method, a color image of a scene is received from an RGB camera. The color image is applied to a trained machine learning component which uses features of the image elements to assign all or some of the image elements a depth value which represents the distance between the surface depicted by the image element and the RGB camera. In various examples, the machine learning component comprises one or more entangled geodesic random decision forests.

Abstract: A method of sensing depth using an RGB camera. In an example method, a color image of a scene is received from an RGB camera. The color image is applied to a trained machine learning component which uses features of the image elements to assign all or some of the image elements a depth value which represents the distance between the surface depicted by the image element and the RGB camera. In various examples, the machine learning component comprises one or more entangled geodesic random decision forests.

Abstract: Methods and systems for controlling a computing-based device based on gestures made within a predetermined range of a camera wherein the predetermined range is a subset of the field of view of the camera. Any gestures made outside of the predetermined range are ignored and do not cause the computing-based device to perform any action. In some examples, the gestures are used to control a drawing canvas that is implemented in a video conference session. In these examples, a single camera may be used to generate an image of a video conference user which is used to detect gestures in the predetermined range and provide other parties to the video conference session a visual image of the user.

Abstract: A method for calibrating a measuring system, which system comprises a structured light source, optics and a sensor. The light source is adapted to produce a light plane or sheet and the optics is located between the light plane and the sensor. The method is performed in order to obtain a mapping from the sensor to the light plane. In the method the light source is switched on such that the light plane is produced. In order to account for distortions due to the optics, a mapping calibration profile is introduced in the light plane, wherein the mapping calibration profile comprises at least three points forming a straight line. A non-linear mapping from the sensor to the light plane is then computed by using the at least three points. Next, in order to account for perspective distortions, a homography calibration profile is introduced in the light plane, wherein the homography calibration profile comprises at least four points the relative distance between which are predetermined.

Abstract: The present invention relates to a method for determining the extension of a trajectory in a space-time volume of measure images. The space-time volume of measure images is generated by a measuring method utilizing a measuring system comprising a first light source and a sensor. The measuring method comprises a step of, in a predetermined operating condition of the measuring system, moving a measure object along a first direction of movement in relation to the measuring system while the first light source illuminates the measure object whereby the sensor generates a measure image of the measure object at each time instant in a set of at least two subsequent time instants, thus generating said space-time volume of measure images wherein a feature point of the measure object maps to a trajectory in the space-time volume.

Abstract: The present invention relates to an imaging apparatus and method for measuring the three-dimensional characteristics of an object using range data acquisition and analysis. The imaging apparatus comprises: means for configuring the range data acquisition and analysis before starting the measuring; means for creating an image of the object by detecting reflected light from the object using at least one sensor comprising pixels; means for acquiring range data of the object from the created image measured in sensor pixel units; means for calibrating the acquired range data from sensor pixel values to world-coordinates; means for rectifying the calibrated range data by re-sampling the range data onto a uniformly spaced grid; and, means for analyzing the calibrated and rectified range data in order to obtain the three-dimensional characteristics of the object.

Abstract: The present invention relates to a method and an apparatus for determining the amount of light scattered in an object in a machine vision system comprising: a light source illuminating said object with incident light having a limited extension in at least one direction; and, an imaging sensor detecting light emanating from said object, wherein said emanated light is reflected light (R) on the surface of said object and light scattered (S) in said object, said detected light is resulting in at least one intensity distribution curve on said imaging sensor having a peak where said reflected light (R) is detected on said imaging sensor. A width (w) of said at least one intensity distribution curve around said peak is measured, whereby said measured width (w) indicates the amount of light scattered (S) in said object.

Abstract: A method for calibrating a measuring system, which system comprises a structured light source, optics and a sensor. The light source is adapted to produce a light plane or sheet and the optics is located between the light plane and the sensor. The method is performed in order to obtain a mapping from the sensor to the light plane. In the method the light source is switched on such that the light plane is produced. In order to account for distortions due to the optics, a mapping calibration profile is introduced in the light plane, wherein the mapping calibration profile comprises at least three points forming a straight line. A non-linear mapping from the sensor to the light plane is then computed by using the at least three points. Next, in order to account for perspective distortions, a homography calibration profile is introduced in the light plane, wherein the homography calibration profile comprises at least four points the relative distance between which are predetermined.

Abstract: The present invention relates to a method for determining the extension of a trajectory in a space-time volume of measure images. The space-time volume of measure images is generated by a measuring method utilizing a measuring system comprising a first light source and a sensor. The measuring method comprises a step of, in a predetermined operating condition of the measuring system, moving a measure object along a first direction of movement in relation to the measuring system while the first light source illuminates the measure object whereby the sensor generates a measure image of the measure object at each time instant in a set of at least two subsequent time instants, thus generating said space-time volume of measure images wherein a feature point of the measure object maps to a trajectory in the space-time volume.

Abstract: The present invention relates to a method and an apparatus for determining the amount of light scattered in an object in a machine vision system comprising: a light source illuminating said object with incident light having a limited extension in at least one direction; and, an imaging sensor detecting light emanating from said object, wherein said emanated light is reflected light (R) on the surface of said object and light scattered (S) in said object, said detected light is resulting in at least one intensity distribution curve on said imaging sensor having a peak where said reflected light (R) is detected on said imaging sensor. A width (w) of said at least one intensity distribution curve around said peak is measured, whereby said measured width (w) indicates the amount of light scattered (S) in said object.

Abstract: The present invention relates to an imaging apparatus and method for measuring the three-dimensional characteristics of an object (1) using range data acquisition and analysis. The imaging apparatus comprises: means for configuring the range data acquisition and analysis before starting the measuring; means for creating an image of said object (1) by detecting reflected light from said object (1) using at least one sensor (5) comprising pixels; means for acquiring range data of said object (1) from the created image measured in sensor pixel units; means for calibrating the acquired range data from sensor pixel values to world-coordinates; means for rectifying the calibrated range data by re-sampling the range data onto a uniformly spaced grid; and, means for analyzing the calibrated and rectified range data in order to obtain the three-dimensional characteristics of said object (1).

Abstract: The invention relates to a computed tomography method in which a conical radiation beam traverses an examination zone during a helical relative motion between the radiation beam and the examination zone. The reconstruction is performed by means of filtered backprojection, the filtering operations involving measured values resulting from different projections of voxels from at least approximately the same surface within the examination zone.