Abstract: A sensor device has a sensor base with a sensor mount, for which different sensor assemblies are attachable to the sensor mount. The sensor base transmits different settings to the sensor assembly via the sensor mount interface. The transmission preferably is wireless, rather than using mechanical connectors. The sensor assembly stores the settings in control registers that determine the settings for the capture of sensor data. In one approach, the sensor base includes an application processor and software executing on the application processor determines the settings. The control registers for the sensor assembly are thus software programmable, allowing different settings to be applied to different samples of sensor data.

Abstract: An approach to sensor data is based on scenes. One aspect concerns a computer-implemented method for specifying and obtaining a variety of sensor data and processed sensor data related to a scene. The method incorporates a Scene-based API that uses SceneModes and SceneData. An application requesting sensor data communicates a SceneMode to a group of one or more sensor devices and/or sensor modules via the Scene-based API. The SceneMode determines the SceneData to be captured or provided by the sensor group, which typically includes different types of sensor data related to the Scene and also further processed or analyzed data. The application receives the SceneData from the sensor group via the Scene-based API, with the SceneData organized into SceneShots which are samples of the Scene.

Abstract: The present disclosure overcomes the limitations of the prior art by providing approaches to marking points of interest in scenes. In one aspect, a Scene of interest is identified based on SceneData provided by a sensor-side technology stack that includes a group of one or more sensor devices. The SceneData is based on a plurality of different types of sensor data captured by the sensor group, and typically requires additional processing and/or analysis of the captured sensor data. A SceneMark marks the Scene of interest or possibly a point of interest within the Scene.

Abstract: The present disclosure overcomes the limitations of the prior art by providing 3D compression (i.e., compression that also accounts for changes in depth), including 3D compression of video sequences. In one aspect, depth information is obtained by processing captured images from a multi-aperture imaging device. The availability of IR images and depth information facilitates additional processing compared to when only color images are available.

Abstract: A multi-aperture imaging system determines depth map information. A series of image frames of a scene are captured. The frames include a normal image frame and at least one structured image frame. The multi-aperture imaging system determines edge information of an object in the scene using a deblur technique and the normal image frame. The multi-aperture imaging system determines fill depth information for the object based in part on the at least one structured image frame. The multi-aperture imaging system generates a depth map of the scene using the edge depth information and the fill depth information.

Abstract: The present disclosure overcomes the limitations of the prior art by providing 3D compression (i.e., compression that also accounts for changes in depth), including 3D compression of video sequences. In one aspect, depth information is obtained by processing captured images from a multi-aperture imaging device. The availability of IR images and depth information facilitates additional processing compared to when only color images are available.

Abstract: An application programming interface (API) provides access to a multi-aperture imaging system. By using the API, higher level applications can access and/or specify the image capture by the multi-aperture imaging device. For example, the API can support the specification of various image capture parameters: resolution, frame rate, exposure, flash, filtering, and additional processing to be applied. These could be specified for all frames and all channels (Red, Green, Blue and Infrared), or could be specified for specific subframes within a frame and/or for specific channels. The API can also specify output data from the multi-aperture imaging device. This can include raw pixel data, image data (color and Infrared), depth maps, and other processed image data. It can also include metadata and data about the status of the multi-aperture imaging device.

Abstract: A multi-aperture imaging system determines depth map information. First raw image data associated with a first image of a scene is captured using a first imaging system characterized by a first point spread function (PSF). Second raw image data associated with a second image of the scene is captured using a second imaging system characterized by a second PSF that varies as a function of depth differently than the first point spread function. High-frequency image data is generated using the first raw image data and the second raw image data. Edges are identified using normalized derivative values of the high-frequency image data, and edge depth information is determined for the identified edges using a bank of blur kernels. Fill depth information is determined for image components other than the identified edges, and a depth map of the scene is generated using the edge depth information and the fill depth information.

Abstract: The present invention recited a method and apparatus for providing a parameter of a fluid within a fluid channel using a MEMS resonating element in contact with the fluid moving through the fluid channel. Additionally an actuating device associated with the MEMS resonating element is further provided, such that the actuating device can induce motion in the MEMS resonating element. In communication with the MEMS resonating element is an interpretation element capable of calculating a parameter of the fluid moving through the fluid channel based upon data from the MEMS resonating element upon actuation by the actuating device.

Abstract: A method for determining a pore characteristic of a substance includes the following steps: subjecting the substance to a substantially uniform static magnetic field; applying a magnetic pulse sequence to the substance, the pulse sequence being selected to produce nuclear magnetic resonance signals that are responsive to internal magnetic field inhomogeneities in the pore structure of the substance, and detecting, as measurement signals, nuclear magnetic resonance signals from the substance; applying a reference magnetic pulse sequence to the substance, the reference pulse sequence being selected to produce nuclear magnetic resonance signals that are substantially unresponsive to internal magnetic field inhomogeneities in the pore structure of the substance, and detecting, as reference measurement signals, nuclear magnetic resonance signals from the substance; and determining a pore characteristic of the substance from the measurement signals and the reference measurement signals.

Abstract: A technique is provided for determining a nuclear magnetic resonance characteristic of formations surrounding an earth borehole, including the following steps: providing a logging device that is moveable through the borehole; providing, on the logging device, first and second coils having respective axes that are generally orthogonal; producing, at the logging device, a prepolarizing signal; applying pulse sequence signals to the first and second coils, the pulse sequence signals implementing repeated refocusing of spins in the formations by both adiabatic and non-adiabatic reorienting of the spins to form spin echoes; and detecting, at the logging device, the spin echoes from the formations, the spin echoes being indicative of the nuclear magnetic resonance characteristic of the formations.