Abstract: The invention relates to a TOF camera system comprising several cameras, at least one of the cameras being a TOF camera, wherein the cameras are assembled on a common substrate and are imaging the same scene simultaneously and wherein at least two cameras are driven by different driving parameters.

Abstract: The invention relates to a TOF camera system comprising several cameras, at least one of the cameras being a TOF camera, wherein the cameras are assembled on a common substrate and are imaging the same scene simultaneously and wherein at least two cameras are driven by different driving parameters.

Abstract: Described herein is a method for enabling human-to-computer three-dimensional hand gesture-based natural interactions from depth images provided by a range finding imaging system. The method enables recognition of simultaneous gestures from detection, tracking and analysis of singular points of interests on a single hand of a user and provides contextual feedback information to the user. The singular points of interest of the hand: include hand tip(s), fingertip(s), palm center and center of mass of the hand, and are used for defining at least one representation of a pointer. The point(s) of interest is/are tracked over time and are analyzed to enable the determination of sequential and/or simultaneous “pointing” and “activation” gestures performed by a single hand.

Abstract: The invention relates to a TOF camera system comprising several cameras, at least one of the cameras being a TOF camera, wherein the cameras are assembled on a common substrate and are imaging the same scene simultaneously and wherein at least two cameras are driven by different driving parameters.

Abstract: The invention relates to a TOF camera system comprising several cameras, at least one of the cameras being a TOF camera, wherein the cameras are assembled on a common substrate and are imaging the same scene simultaneously and wherein at least two cameras are driven by different driving parameters.

Abstract: The invention relates to a TOF camera system comprising several cameras, at least one of the cameras being a TOF camera, wherein the cameras are assembled on a common substrate and are imaging the same scene simultaneously and wherein at least two cameras are driven by different driving parameters.

Abstract: The invention relates to a TOF camera system comprising several cameras, at least one of the cameras being a TOF camera, wherein the cameras are assembled on a common substrate and are imaging the same scene simultaneously and wherein at least two cameras are driven by different driving parameters.

Abstract: Described herein is a method and a system for providing efficient and complementary natural multi-modal gesture based interaction with a computerized system which displays visual feedback information on a graphical user interface on an interaction surface. The interaction surface is within the frustum of an imaging device comprising a single sensing system. The system uses the single sensing system for detecting both touch gesture interactions with the interaction surface (120) and three-dimensional touch-less gesture interactions in areas or volumes above the interaction surface performed by hands of a user. Both types of interaction are associated contextually with an interaction command controlling the computerized system when the gesture has been detected.

Abstract: The invention relates to a TOF camera system comprising several cameras, at least one of the cameras being a TOF camera, wherein the cameras are assembled on a common substrate and are imaging the same scene simultaneously and wherein at least two cameras are driven by different driving parameters.

Abstract: The invention relates to a TOF camera system comprising several cameras, at least one of the cameras being a TOF camera, wherein the cameras are assembled on a common substrate and are imaging the same scene simultaneously and wherein at least two cameras are driven by different driving parameters.

Abstract: The present invention provides a method and system for determining and providing color metadata for a downlink data channel. In accordance with the present invention color metadata is determined such that gamut mapping is defined by a transmitted source gamut which enables adapted mapping that preserves saturation and contrast levels of the source for a downlink data channel. The metadata is then provided to a downlink data channel for color management.

Abstract: A system, and a method is described for use with electronic devices such as a TV display, a laptop, a PC, a media center platform, a Set Top Box or a DVD player, a light bulb, said system and method combining advantageously several separate control means into one single device. The combined control means shares at least one common property such as, as for example, the use of an IR signal to convey information signal. In particular, the invention is related to the combination of a TOF illumination system of a TOF camera and the method for operating it, with the control means for driving electronic devices located in the scene such as, as for example, an IR emitter for driving 3D IR synchronized viewing glasses.

Abstract: Described herein is a method for enabling human-to-computer three-dimensional hand gesture-based natural interactions from depth images provided by a range finding imaging system. The method enables recognition of simultaneous gestures from detection, tracking and analysis of singular points of interests on a single hand of a user and provides contextual feedback information to the user. The singular points of interest of the hand: include hand tip(s), fingertip(s), palm center and center of mass of the hand, and are used for defining at least one representation of a pointer. The point(s) of interest is/are tracked over time and are analyzed to enable the determination of sequential and/or simultaneous “pointing” and “activation” gestures performed by a single hand.

Abstract: Described herein is a method for enabling human-to-computer three-dimensional hand gesture-based natural interactions from depth images provided by a range finding imaging system. The method enables recognition of simultaneous gestures from detection, tracking and analysis of singular points of interests on a single hand of a user and provides contextual feedback information to the user. The singular points of interest of the hand: include hand tip(s), fingertip(s), palm centre and centre of mass of the hand, and are used for defining at least one representation of a pointer. The point(s) of interest is/are tracked over time and are analysed to enable the determination of sequential and/or simultaneous “pointing” and “activation” gestures performed by a single hand.

Abstract: Described herein is a method and a system for providing efficient and complementary natural multi-modal gesture based interaction with a computerized system which displays visual feedback information on a graphical user interface on an interaction surface. The interaction surface is within the frustum of an imaging device comprising a single sensing system. The system uses the single sensing system for detecting both touch gesture interactions with the interaction surface (120) and three-dimensional touch-less gesture interactions in areas or volumes above the interaction surface performed by hands of a user. Both types of interaction are associated contextually with an interaction command controlling the computerized system when the gesture has been detected.

Abstract: The invention relates to a TOF camera system comprising several cameras, at least one of the cameras being a TOF camera, wherein the cameras are assembled on a common substrate and are imaging the same scene simultaneously and wherein at least two cameras are driven by different driving parameters.

Abstract: Described herein is a method for correcting defective depth values in depth map images. Defective values correspond to “noisy pixels” located on continuous flat surfaces and interpolated “flying pixels” located along an edge between a foreground object and a background object. The method comprising the steps of accessing a depth map of a scene which includes the foreground and background objects, detecting and identifying noisy and interpolated depth measurements within the depth map using a method, defining and applying a correction to each of the detected defective noisy and interpolated depth measurements using a specifically defined weighted correction factor. By providing the corrected defective depth values in depth map images, edges are sharpened in depth and continuous surfaces are flattened, enabling higher efficiency and robustness of further image processing.

Abstract: The present invention relates to a method for stabilizing a series of measurements of a physical variable captured by a digital sensor. This method comprises the steps of: capturing at least a first measurement, a second measurement, and a third measurement of said physical variable and storing each measurement in a digital memory. The first and second measurements are compared and, if a difference between the first measurement and the second measurement is below a predetermined threshold, the second measurement is replaced in the memory by a corrected second measurement where the difference with respect to said first measurement has been reduced using a first filtering strength.

Abstract: Described herein is a method for recognizing a human head in a source image. The method comprises detecting a contour of at least part of a human body in the source image, calculating a depth of the human body in the source image. From the source image, a major radius size and a minor radius size of an ellipse corresponding to a human head at the depth is calculated, and, for at least several of a set of pixels of the detected contour, generating in an accumulator array at least one segment of an ellipse centered on the position of the contour pixel and having the major and minor radius sizes. Positions of local intensity maxima in the accumulator array are selected as corresponding to positions of the human head candidates in the source image.

Abstract: Described herein is a user interface that provides contextual feedback, controls and interface elements on a display screen of an interactive three-dimensional imaging system. A user interacts with the interface to provide control signals in accordance with those recognized by the system to a makes use of at least one POI in a three-dimensional scene that is imaged by the imaging system to provide control signals for the user interface. Control signals are provided by means of gestures which are analyzed in real-time by gesture recognition processes that analyze statistical and geometrical properties of POI motion and trajectories.