Abstract: There is provided mechanisms for granting network resources for maintaining a communication session for a subscriber in a network. A method is performed by a CTF node. The method includes obtaining, from a gateway in the network, a request for network resources for maintaining the communication session for the subscriber, and requesting, from an OCF node and in response thereto, credit units corresponding to the network resources. The method includes obtaining a grant of the credit units as well as an advance credit indication of additional credit units for the communication session from the OCF node. The method further includes storing the advance credit indication for the communication session and providing, to the gateway, a grant for the network resources for maintaining the communication session in accordance with the obtained grant.

Abstract: A method to dynamically and adaptively sample the depths of a scene using the principle of triangulation light curtains is described. The approach directly detects the presence or absence of obstacles (or scene points) at specified 3D lines in a scene by sampling the scene. The scene can be sampled sparsely, non-uniformly, or densely at specified regions. The depth sampling can be varied in real-time, enabling quick object discovery or detailed exploration of areas of interest. Once an object is discovered in the scene, adaptive light curtains comprising dense sampling of a region of the scene containing the object, can be used to better define the position, shape and size of the discovered object.

Abstract: An energy optimized imaging system that includes a light source that has the ability to illuminate specific pixels in a scene, and a sensor that has the ability to capture light with specific pixels of its sensor matrix, temporally synchronized such that the sensor captures light only when the light source is illuminating pixels in the scene.

Abstract: A novel class of imaging systems that combines diffractive optics with 1D line sensing is disclosed. When light passes through a diffraction grating or prism, it disperses as a function of wavelength. This property is exploited to recover 2D and 3D positions from line images. A detailed image formation model and a learning-based algorithm for 2D position estimation are disclosed. The disclosure includes several extensions of the imaging system to improve the accuracy of the 2D position estimates and to expand the effective field-of-view. The invention is useful for fast passive imaging of sparse light sources, such as streetlamps, headlights at night and LED-based motion capture, and structured light 3D scanning with line illumination and line sensing.

Abstract: A novel class of imaging systems that combines diffractive optics with 1D line sensing is disclosed. When light passes through a diffraction grating or prism, it disperses as a function of wavelength. This property is exploited to recover 2D and 3D positions from line images. A detailed image formation model and a learning-based algorithm for 2D position estimation are disclosed. The disclosure includes several extensions of the imaging system to improve the accuracy of the 2D position estimates and to expand the effective field-of-view. The invention is useful for fast passive imaging of sparse light sources, such as streetlamps, headlights at night and LED-based motion capture, and structured light 3D scanning with line illumination and line sensing.

Abstract: A fast imaging apparatus and method for high resolution diffuse optical tomography with a line imaging and illumination system is disclosed. The method uses an algorithm comprising a convolution approximation of the forward heterogeneous scattering model that can be inverted to produce deeper than ever before structured beneath the surface. The method can detect reasonably accurate boundaries and relative depth of absorption variations up to a depth of approximately 8 mm below highly scattering medium such as skin.

Abstract: Embodiments described herein are generally directed to a device that monitors for the presence of objects passing through or impinging on a virtual shell near the device, referred to herein as a “light curtain”, which is created by rapidly rotating a line sensor and a line laser in synchrony. The boundaries of the light curtain are defined by a sweeping line defined by the intersection of the sensing and illumination planes.

Abstract: Energy-efficient epipolar imaging is applied to the ToF domain to significantly expand the versatility of ToF sensors. The described system exhibits 15+ m range outdoors in bright sunlight; robustness to global transport effects such as specular and diffuse inter-reflections; interference-free 3D imaging in the presence of many ToF sensors, even when they are all operating at the same optical wavelength and modulation frequency; and blur- and distortion-free 3D video in the presence of severe camera shake. The described embodiments are broadly applicable in consumer and robotics domains.

Abstract: A method to dynamically and adaptively sample the depths of a scene using the principle of triangulation light curtains is described. The approach directly detects the presence or absence of obstacles (or scene points) at specified 3D lines in a scene by sampling the scene. The scene can be sampled sparsely, non-uniformly, or densely at specified regions. The depth sampling can be varied in real-time, enabling quick object discovery or detailed exploration of areas of interest. Once an object is discovered in the scene, adaptive light curtains comprising dense sampling of a region of the scene containing the object, can be used to better define the position, shape and size of the discovered object.

Abstract: Techniques for analysis and deep learning modeling of sensor-based object detection data in bounded aquatic environments are described, including capturing an image from a sensor disposed substantially above a waterline, the sensor being housed in a structure electrically coupled to a light housing, converting the image into data, the data being digitally encoded, evaluating the data to separate background data from foreground data, generating tracking data from the data after the background data is removed, the tracking data being evaluated to determine whether a head or a body are detected by comparing the tracking data to classifier data, tracking the head or the body relative to the waterline if the head or the body are detected in the tracking data, and determining a state associated with the head or the body.

Abstract: Techniques for analysis and deep learning modeling of sensor-based object detection data for organic motion determination in bounded aquatic environments using underwater powered systems are described, including a light disposed substantially within a recess of a boundary wall, the light being disposed substantially underwater and configured to receive power using a conduit, and a spacer ring disposed circumferentially about an opening associated with the recess, the spacer ring being configured to secure the light within the recess and to provide a channel formed in the spacer ring, the channel being configured to receive the conduit.

Abstract: An energy optimized imaging system that includes a light source that has the ability to illuminate specific pixels in a scene, and a sensor that has the ability to capture light with specific pixels of its sensor matrix, temporally synchronized such that the sensor captures light only when the light source is illuminating pixels in the scene.

Abstract: A novel class of imaging systems that combines diffractive optics with 1D line sensing is disclosed. When light passes through a diffraction grating or prism, it disperses as a function of wavelength. This property is exploited to recover 2D and 3D positions from line images. A detailed image formation model and a learning-based algorithm for 2D position estimation are disclosed. The disclosure includes several extensions of the imaging system to improve the accuracy of the 2D position estimates and to expand the effective field-of-view. The invention is useful for fast passive imaging of sparse light sources, such as streetlamps, headlights at night and LED-based motion capture, and structured light 3D scanning with line illumination and line sensing.

Abstract: Embodiments described herein are generally directed to a device that monitors for the presence of objects passing through or impinging on a virtual shell near the device, referred to herein as a “light curtain”, which is created by rapidly rotating a line sensor and a line laser in synchrony. The boundaries of the light curtain are defined by a sweeping line defined by the intersection of the sensing and illumination planes.

Abstract: Techniques for analysis and deep learning modeling of sensor-based object detection data in bounded aquatic environments are described, including capturing an image from a sensor disposed substantially above a waterline, the sensor being housed in a structure electrically coupled to a light housing, converting the image into data, the data being digitally encoded, evaluating the data to separate background data from foreground data, generating tracking data from the data after the background data is removed, the tracking data being evaluated to determine whether a head or a body are detected by comparing the tracking data to classifier data, tracking the head or the body relative to the waterline if the head or the body are detected in the tracking data, and determining a state associated with the head or the body.

Abstract: A system for creating a near-spherical point cloud of RGBD data includes one or more sensing units for providing depth data, each sensing unit having a stereo pair of sensors fitted with the wide-angle lens from which a one-dimensional line of pixels is read, and one or more lasers for illuminating the single line of pixels, the sensing units mounted on a spinning platform. The spinning platform is mounted on the base having a plurality of cameras mounted therein for providing 360-degree RGB data.

Abstract: Energy-efficient epipolar imaging is applied to the ToF domain to significantly expand the versatility of ToF sensors. The described system exhibits 15+ m range outdoors in bright sunlight; robustness to global transport effects such as specular and diffuse inter-reflections; interference-free 3D imaging in the presence of many ToF sensors, even when they are all operating at the same optical wavelength and modulation frequency; and blur- and distortion-free 3D video in the presence of severe camera shake. The described embodiments are broadly applicable in consumer and robotics domains.

Abstract: An energy optimized imaging system that includes a light source that has the ability to illuminate specific pixels in a scene, and a sensor that has the ability to capture light with specific pixels of its sensor matrix, temporally synchronized such that the sensor captures light only when the light source is illuminating pixels in the scene.

Abstract: An energy optimized imaging system that includes a light source that has the ability to illuminate specific pixels in a scene, and a sensor that has the ability to capture light with specific pixels of its sensor matrix, temporally synchronized such that the sensor captures light only when the light source is illuminating pixels in the scene.

Abstract: A system for creating a near-spherical point cloud of RGBD data includes one or more sensing units for providing depth data, each sensing unit having a stereo pair of sensors fitted with the wide-angle lens from which a one-dimensional line of pixels is read, and one or more lasers for illuminating the single line of pixels, the sensing units mounted on a spinning platform. The spinning platform is mounted on the base having a plurality of cameras mounted therein for providing 360-degree RGB data.