Abstract: A system and method of operation of an imaging system includes: a capture module for receiving an input sequence with an image pair, the image pair having a first image and a second image and for determining a first patch from the first image and a second patch from the second image; an iteration module for generating an iteration map from the first patch of the first image and the second patch of the second image; and a position module for generating a final depth map from the iteration map and for determining a focus position from the final depth map.

Abstract: A natural user interface system and method of operation thereof including: a display device having a display screen and a display device camera; a mobile device having a mobile device camera, an optical axis of the mobile device camera positioned at an angle to an optical axis of the display device camera; wherein: the mobile device includes a first device pairing module for pairing the mobile device with the display device; the mobile device camera and the display device camera are for: detecting a user's hand, and determining posture and movement of the user's hand; and the display device includes a motion translation module for translating the posture and movement of the user's hand into a gesture for controlling an element of a user interface on the display screen.

Abstract: A natural user interface system and method of operation thereof including: providing a display screen having a range camera connected to the display screen in a known location relative to the display screen; determining a user's pointing vector as pointing towards the display screen; determining the user's pointing vector as motionless; and initializing a cursor in the center of the display screen and simultaneously calibrating the user's pointing vector as an initial pointing vector pointing at the center of the display screen.

Abstract: The present invention is directed to a method and apparatus for converting a two-dimensional image into a stereoscopic three-dimensional image. In one embodiment, a method of converting a two-dimensional image into a stereoscopic three-dimensional image comprises identifying at least one corresponding pixel from a left eye image and determining a depth and an intensity value for the each pixel within a right eye image using the at least one corresponding pixel. The depth value is stored in a right eye depth map and the intensity value is stored in the right eye image. The method further comprises inpainting at least one occluded region within the right eye image using the right eye depth map.

Abstract: A method for converting a 2D image into a 3D image includes receiving the 2D image; determining whether the received 2D image is a portrait, wherein the portrait can be a face portrait or a non-face portrait; if the received 2D image is determined to be a portrait, creating a disparity between a left eye image and a right eye image based on a local gradient and a spatial location; generating the 3D image based on the created disparity; and outputting the generated 3D image.

Abstract: A method for operating a building management system includes: identifying a movement-pattern from a sensed attribute at a first sensor; determining a behavior-pattern at the first sensor when the movement-pattern matches a template-pattern; transmitting the behavior-pattern and the sensed attribute from the first sensor to a second sensor; and tracking the sensed attribute at the second sensor for displaying on a device.

Abstract: A camera or camcorder with a multi-view three dimensional (3D) attachment enables acquisition of 3D images and video which are then able to be displayed to a user without the need for specialized glasses. The multi-view 3D attachment captures at least 3 views of the same image from different angles simultaneously on a sensor.

Abstract: Systems and methods are disclosed for identifying the vanishing point, vanishing direction and road width of an image using scene identification algorithms and a new edge-scoring technique.

Abstract: Method and apparatus for performing visual effects rendering on an image are described. User specifications are processed for at least one visual effect for the image. Scene analysis information associated with the image may be accessed, wherein the scene analysis information is based on the user specifications and indicates at least one pixel of the image for coupling with the at least one visual effect. The at least one pixel is accentuated using depth map information, wherein dimensions for the at least one pixel are determined in response to corresponding depth values of the at least one pixel. An output image is generated having at least one visual effect.

Abstract: A system for efficiently generating device-dependent anaglyph images includes a display device for presenting anaglyph images in a three-dimensional format. An anaglyph converter includes a conversion manager that interacts with system users to perform configuration procedures for generating anaglyph images. The configuration procedures are utilized to define one or more imaging parameters that are dependent upon imaging characteristics of said display device. The imaging parameters may include ghosting reduction parameters and color adjustment parameters. A processor device typically controls the conversion manager to perform the anaglyph image generation procedures.

Abstract: Two different approaches for reducing the bit depth of the image data so as to reduce the computation and hardware requirement of image patch matching, with minimal loss of matching accuracy are described. Patch matching is able to be implemented in many different ways, but generally involves matching one area of an image with another area of the same image or another area of a different image (e.g. another video frame) through the use of a matching cost function. Transforming the image data to lower bit depth, image processing techniques are able to be implemented to minimize the needed memory and other resources for patch-matching. The complexity/performance trade-off of the approaches are also adjustable so that they are able to be applied for applications with different quality requirements and hardware constraints.

Abstract: A method and apparatus for multiview image generation using depth map information is described. In one embodiment, a computer-implemented method comprises converting a input image and an input depth map into a projected image and a projected depth map using values from physical pixel locations that map to projected pixel locations, wherein the projected image and the projected depth map are associated with a particular view of the input image, inpainting the projected image and the projected depth map and producing an output image in a direction of the particular view using the inpainted projected image and the inpainted projected depth map.

Abstract: A system for implementing and utilizing a lens array in an electronic device includes a sensor array coupled to the electronic device for capturing image data corresponding to a photographic target. The lens array includes a plurality of lenses that each has a different respective principal focal length to transmit reflected light from the photographic target to the sensor array. The sensor array captures a set of MFP images that each corresponds with a respective one of the lenses in the MFP lens array. The electronic device may further include an image processor that performs one or more digital signal processing procedures on the captured MFP images to thereby generate a rendered final image.

Abstract: A display is able to display 3D content in high resolution 2D by utilizing the many views contained in the 3D data and converting the 3D data into 2D data. In some embodiments, the 3D data is converted using shifts in different views of a pixel. In some embodiments, the 3D is converted using shifts in different views of a local pixel and global pixels as well. Displays implementing the 2D high resolution display in addition to a low resolution 3D display are able to display 3D and 2D data depending on a user's preference.

Abstract: A method for operating a building management system includes: identifying a movement-pattern from a sensed attribute at a first sensor; determining a behavior-pattern at the first sensor when the movement-pattern matches a template-pattern; transmitting the behavior-pattern and the sensed attribute from the first sensor to a second sensor; and tracking the sensed attribute at the second sensor for displaying on a device.

Abstract: A method for operating a resource management system includes: identifying a total-usage status of a resource currently being supplied; calculating a current production amount of supplying the resource using the total-usage status; calculating an assessment structure directly reflecting the current production amount; adjusting the assessment structure for modifying behavior associated with the current consumption of the resource.

Abstract: A television set. The television set includes a display, a gesture detector, a transceiver, a processor, and a memory component. The display is operable to render images. The gesture detector is operable to detect gesture interactions, e.g., initiation of gesture control operation. The transceiver is operable to communicate with an electronic device that is separate from the television set. The processor is operable to cause the transceiver to send a request message to the electronic device. The request message is a request to receive a graphical user interface (GUI) of the electronic device for rendering on the display. The transceiver receives the GUI of the electronic device responsive to the request message. The processor generates a command message responsive to gesture interaction with the GUI of the electronic device. The command message is operable to control an operation of the electronic device and is transmitted to the electronic device.

Abstract: A method for converting a 2D image into a 3D image includes receiving the 2D image; analyzing content of the received 2D image; determining a 2D-to-3D image conversion method based on a result of the content analysis; generating the 3D image by applying the determined method to the received 2D image; and providing the generated 3D image.

Abstract: A video input signal is analyzed to detect image content and image properties, wherein detecting the image content includes automatically deriving image features. A content group is determined for the video input signal based on the detected image content, the content group including predefined image properties. The image properties of the video input signal are adjusted based on a difference between the detected image properties and the predefined image properties.

Abstract: A method for generating a depth map for a 2D image includes receiving the 2D image; analyzing content of the received 2D image; determining a depth map based on a result of the content analysis; refining the determined depth map using an edge-preserving and noise reducing smoothing filter; and providing the refined depth map.