Abstract: A method includes locating a region of interest in an image and measuring a contrast level of the region of interest. At least one sensor setting is adjusted to increase the contrast level of the region of interest to at least the predetermined threshold level in response to the contrast level being below a predetermined threshold level.

Abstract: A system and method for providing an adaptive camera network is provided. The invention discloses a camera network comprising a plurality of cameras, wherein each camera in the network comprises a plurality of applications that include a first application for performing a primary function and a second application for changing the primary function and a trigger based on an event, the trigger activating the second application in at least a portion of the plurality of cameras.

Abstract: A first and a second image (401 and 501) containing a shared region of interest (400) are captured (201 and 202) using a rolling shutter mode of image capture. These two images are captured at different times, such that the second image follows the first image by a given amount of time.

Abstract: A visual reality augmentation apparatus (300) comprises one or more (substantially) real time reality context input stages (301, 302) that provide corresponding reality context information to a reality content detector (303). The latter provides detected object information to an augmented reality content display (304) that provides augmentation information (via, for example, projection display techniques) to augment the real world scene being viewed by a viewer. In a preferred approach a direction-of-gaze detector (305) detects the viewer's gaze direction. That information then serves to facilitate positional synchronization of the augmentation information to the viewer's point of view of the corresponding real world information.

Abstract: A method and apparatus for object-of-interest image de-blurring includes functions that determine (305, 310) an object region of an object-of-interest in an image that may be generated by image capture device (805), that determine (315, 825) a motion vector of the object-of-interest, that determine (325, 830) a scaling factor, and that generate (330) a de-blurred object region by processing the object region using a deconvolution filter (835) formulated from the motion vector and the scaling factor.

Abstract: A method and apparatus for object-of-interest image capture accomplishes the functions of capturing (120) a current image, determining (125) an object region of the object-of-interest in the current image, calculating (130) a contrast measurement of the object region, and identifying (135) the current image as having an optimized object region when an iteration measure meets a criterion. The current image is captured using a local exposure value determined from luminance readings of pixels within an object region of an object-of-interest of a previous image.

Abstract: Captured images are provided (101) and analyzed (102) to generate corresponding image content information. One or more statistics are then generated (103) as a function of that image content information and those statistics transmitted (104) to a remote receiver via a communication link (or links) of choice. That statistical information, alone or in combination with similar information from other sources, can then be processed (302) to facilitate developing information regarding preferences, experiences, and/or the like regarding the user (or users) of a given device.

Abstract: An electronic device (1100) and a method for character segmentation (100) includes an image analyzer (1110) that generates individual character images. The image analyzer binarizes (115) a gray scale image (200) of a horizontal row of characters by using a general threshold method to generate a first image (300). The image analyzer also binarizes (120) the gray scale image using an edge detection method to generate a second image (405). The image analyzer determines (125) a character row region (425) of the second image by using horizontal projection analysis. The image analyzer isolates (130) the character row region of the first image using the character row region of the second image. The image analyzer uses the character row region to generate (135) individual character images. The electronic device may include an image capture device (1105) and a character recognition program (1115).