Abstract: The present disclosure generally pertains to an object recognition method for time-of-flight camera data, including: recognizing a real object based on a pretrained algorithm, wherein the pretrained algorithm is trained based on time-of-flight training data, wherein the time-of-flight training data are generated based on a combination of real time-of-flight data being indicative of a background, and simulated time-of-flight data generated by applying a mask on synthetic overlay image data representing a simulated object, thereby generating a masked simulated object, the mask being generated based on the synthetic overlay image data.

Abstract: The present disclosure generally pertains to time-of-flight object detection circuitry for detecting a mobile phone in a hand of a user of a vehicle, the time-of-flight object detection circuitry being configured to: detect the mobile phone in the hand of the user based on a predefined reflectivity pattern being indicative of the mobile phone being at least partially located in the hand.

Abstract: An electronic device having circuitry configured to perform smoke detection based on a depth image and a confidence image captured by an iToF sensor to obtain a smoke detection status.

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 efficient and robust detection of a particular sequence of natural gestures including a beginning (start), and an ending (stop) of a predetermined type of natural gestures for delimiting the period during which a control (interaction) gesture is operating in an environment wherein a user is freely moving his hands. The invention is more particularly, although not exclusively, concerned by detection without any false positives nor delay, of intentionally performed natural gesture subsequent to a starting finger tip or hand tip based natural gesture so as to provide efficient and robust navigation, zooming and scrolling interactions within a graphical user interface up until the ending finger tip or hand tip based natural gesture is detected.

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 efficient and robust detection of a particular sequence of natural gestures including a beginning (start), and an ending (stop) of a predetermined type of natural gestures for delimiting the period during which a control (interaction) gesture is operating in an environment wherein a user is freely moving his hands. The invention is more particularly, although not exclusively, concerned by detection without any false positives nor delay, of intentionally performed natural gesture subsequent to a starting finger tip or hand tip based natural gesture so as to provide efficient and robust navigation, zooming and scrolling interactions within a graphical user interface up until the ending finger tip or hand tip based natural gesture is detected.

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.

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 recognised 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 analysed in real-time by gesture recognition processes that analyse statistical and geometrical properties of POI motion and trajectories.