Methods and systems are described for new paradigms for user interaction with an unmanned aerial vehicle (referred to as a flying digital assistant or FDA) using a portable multifunction device (PMD) such as smart phone. In some embodiments, a user may control image capture from an FDA by adjusting the position and orientation of a PMD. In other embodiments, a user may input a touch gesture via a touch display of a PMD that corresponds with a flight path to be autonomously flown by the FDA.

The present invention relates to a camera module, the module including: a PCB; an image sensor mounted on the PCB and formed with an image pickup device; a base mounted on the PCB and including a plated portion formed at a lower center with an opening mounted with an IR filter; a lower spring plate formed with a conductive material; a spacer arranged on an upper surface of the lower spring plate and forming a staircase structure by a rib wrapping a periphery of the lower spring plate to supportively apply a pressure to the lower spring plate; a lens actuator including a bobbin, and a yoke; an upper spring plate coupled to an upper surface of the lens actuator; and a cover attached to an upper surface of the upper spring plate.

Disclosed are methods and apparatuses for decoding an image. A method includes receiving a bitstream obtained by encoding the image; dividing a first coding block into a plurality of second coding blocks; generating a prediction block of a second coding block based on syntax information obtained from the bitstream; and reconstructing the second coding block based on the prediction block and a residual block of the second coding block, the residual block being obtained by performing a dequantization and an inverse-transform on quantized transform coefficients from the bitstream. The first coding block has a recursive division structure. The first coding block is divided based on at least one of a quad tree division, a binary tree division or a triple tree division.

A method of inspecting a reticle includes obtaining a first image of a surface of the reticle at a first height by scanning the reticle surface with a light source at the first height of the reticle surface relative to a reference surface height of the reticle surface and obtaining a second image of the reticle surface at a second height by scanning the reticle surface with the light source at the second height of the reticle surface relative to the reference surface height of the reticle surface. The second height is different from the first height. The first and the second images are then combined to obtain a surface profile image of the reticle.

Three dimension (3D) model generation systems and methods are operable to generate 3D model data corresponding to images of a physical object of interest that are viewed in a presenting media content event. An exemplary embodiment receives a user request that is associated with an interest by the user to obtain a 3D model of a physical object of interest that is being shown in a scene of a currently presenting media content event. A plurality of video image frames are selected from the scene. Then, 3D model data of the physical object of interest is generated based on at least the selected video image frames of the scene.

Three dimension (3D) model generation systems and methods are operable to generate 3D model data corresponding to images of a physical object of interest that are viewed in a presenting media content event. An exemplary embodiment receives a user request that is associated with an interest by the user to obtain a 3D model of a physical object of interest that is being shown in a scene of a currently presenting media content event. A plurality of video image frames are selected from the scene. Then, 3D model data of the physical object of interest is generated based on at least the selected video image frames of the scene.

A method and system for using a vehicle camera to capture visual information for a home security system is described. In one embodiment, the method includes detecting a trigger event to activate at least one home security camera of a home security system of a dwelling. The method also includes analyzing activity of a target person near the dwelling using the at least one home security camera. Based on the analyzed activity, the method includes activating at least one camera of a vehicle located at or near the dwelling. The method further includes capturing visual information associated with the target person using the at least one camera of the vehicle.

The present disclosure relates to an imaging apparatus, an imaging method, and a program that enable operation in which a display unit is brought into a turn-off state when a predetermined time elapses after start of capturing a moving image, a command from a remote commander is accepted and executed, and the captured moving image is output to an external apparatus. In a case where a manipulation unit that outputs a command depending on content of a user manipulation is manipulated and a command causing a moving image to be recorded on a recording medium is output, recording of the moving image is started and the display unit is controlled to a turn-off state in which an image is not displayed. The present disclosure can be applied to an imaging apparatus.

Camera heads including multiple imaging elements with overlapping Fields of View (FOV) for inspecting pipes or cavities are disclosed.

Using the same image sensor to capture a two-dimensional (2D) image and three-dimensional (3D) depth measurements for a 3D object. A laser point-scans the surface of the object with light spots, which are detected by a pixel array in the image sensor to generate the 3D depth profile of the object using triangulation. Each row of pixels in the pixel array forms an epipolar line of the corresponding laser scan line. Timestamping provides a correspondence between the pixel location of a captured light spot and the respective scan angle of the laser to remove any ambiguity in triangulation. An Analog-to-Digital Converter (ADC) in the image sensor operates as a Time-to-Digital (TDC) converter to generate timestamps. A timestamp calibration circuit is provided on-board to record the propagation delay of each column of pixels in the pixel array and to provide necessary corrections to the timestamp values generated during 3D depth measurements.