Slashdot Mirror
Algorithm Seamlessly Patches Holes In Images
Beetle B. writes in with research from Carnegie Mellon demonstrating a new way to replace arbitrarily shaped blank areas in an image with portions of images from a huge catalog in a totally seamless manner. From the abstract: "In this paper we present a new image completion algorithm powered by a huge database of photographs gathered from the Web. The algorithm patches up holes in images by finding similar image regions in the database that are not only seamless but also semantically valid. Our chief insight is that while the space of images is effectively infinite, the space of semantically differentiable scenes is actually not that large. For many image completion tasks we are able to find similar scenes which contain image fragments that will convincingly complete the image. Our algorithm is entirely data-driven, requiring no annotations or labelling by the user."
Lol.. I hope your right. I'm thinking it will be something like DNA where they say that even though it could be wrong the probability based on X algorithm or something means it isn't likely.