

First, the search should be reasonably precise (even with sparse input) and give matches perceptually similar to the sketch. So, we identified four desirable properties for a search engine that uses sketched feature lines as input.

Because a sketch contains less detail than a photograph, a larger variety of images can be matched, and the search will be less precise. Searching image collections is itself a problem, and queries using sketched feature lines as input are an even bigger problem.

Sketch-Based Search The first challenge was finding images that resemble the user’s sketch. Creating it involved two major technical challenges. The Challenges in Creating Photosketcher Photosketcher is based on a previous system we designed (see the “Related Work in Synthesizing Composite Images” sidebar). Users repeat these steps until the scene contains all the desired elements (see Figure 1). Sketch outlines depicting the desired scene element. Overall, synthesizing novel imagery with our system requires only two simple interaction steps: 1. Part, users only need to enter a few rough feature lines of that part.
#PHOTOSKETCHER SERIES#
This works well for filling holes in given images1 or stitching together an image from a series of similar photographs.2 Second, all user interaction is based on simple sketches and scribbles. The idea is that you’re more likely to find the elements as parts of different pictures in a collection than you are to find a single, perfectly matching image. First, instead of searching for one image that perfectly fits all requirements, it interactively composes images from parts of other images. but lets users interactively search and compose them, letting anyone create complex pictures without any particular artistic skill. to interactively work with Our Photosketcher system combines aspects of all these solarge collections of untagged lutions. Both sorealistic novel photographs, lutions require talent, skill, and Photosketcher is the first experience. puter to either directly draw it Whereas all photo sketch or create a 3D scene that can be systems aim to synthesize rendered into an image. To create Photosketcher synthesizes a more complete rendition of the novel images, using only image, you would need a comsparse user sketches as input. Yet, any existing photograph is probably only an approximation of what you imagined. On the other hand, with the advent of large open image collections, similar photographs might already be available. How would you do it? Photographing it could be expensive and time-consuming. Magine that you want to create a realistic digital representation of a scene that exists only in your head. Photosketcher: Interactive Sketch-Based Image Synthesis Mathias Eitz, Ronald Richter, and Kristian Hildebrand ■ Technical University of Berlin Tamy Boubekeur ■ Telecom ParisTech Marc Alexa ■ Technical University of Berlin
