Abstract:
A method and apparatus for generating a super-resolved image from multiple unsynchronized cameras are provided herein. During operation logic circuitry will receive multiple images from multiple unsynchronized cameras. The logic circuitry will determine a viewshed for each image by extracting time and location information from each received image. Images sharing a similar viewshed will be used to generate a super-resolved image.
Abstract:
Disclosed herein are methods and systems for increasing facial-recognition working range through adaptive super-resolution. One embodiment takes the form of a process that includes calculating one or more video metrics with respect to an input set of video frames. The process also includes obtaining a metric-specific weighting factor for each of the calculated video metrics. The process also includes calculating a weighted sum based on the obtained metric-specific weighting factors and the corresponding calculated video metrics. The process also includes selecting, based at least in part on the calculated weighted sum, a super-resolution technique from among a plurality of super-resolution techniques. The process also includes outputting an indication of the selected super-resolution technique.
Abstract:
A method and apparatus for acquiring an image is provided herein. During operation a determination is made that a user is intending to tag an object through pointing a finger at the object. In response, a pre-buffer is accessed, and an image of the object is selected from the pre-buffer that is absent the user's hand. Once the image has been selected, the image can be forwarded to other users.