By downloading, analyzing, and filtering massive amounts of human images from the Internet, we achieve a database which contains 400 thousands human figures that are segmented out of their background. In the resulting comparison, our approach is significantly better than any other system described so far.Ībstract-We present PoseShop-a pipeline to construct segmented human image database with minimal manual intervention. Moreover, we demonstrate how to optimize the pa-rameters of our, as well as other approaches, based on the gathered sketches. ![]() We can show objectively that this transform is better suited than other approaches from the literature developed for similar tasks. We develop a targeted feature transform based on Gabor fil-ters for this system. Based on this observation, we decide to use a bag-of-features approach over computer generated line drawings of the objects. The sketches turn out to be gener-ally quite abstract with large local and global deviations from the original shape. For objective evaluation, we collect a large number of query sketches from human users that are related to an existing data base of objects. We develop a system for 3D object retrieval based on sketched fea-ture lines as input. We release the complete crowd-sourced dataset of sketches to the community.įigure 1: A complete scene with objects retrieved using our sketch-based system in a total time of about two minutes. Based on the computational model, we demonstrate an interactive sketch recognition system. The resulting recognition method is able to identify unknown sketches with 56 % accuracy (chance is 0.4%). We develop a bag-of-features sketch representation and use multi-class support vector machines, trained on our sketch dataset, to classify sketches. We compare human performance against computational recognition methods. With this dataset we perform a perceptual study and find that humans can correctly identify the object category of a sketch 73 % of the time. We ask humans to sketch objects of a given category and gather 20,000 unique sketches evenly distributed over 250 object categories. We analyze the distribution of non-expert sketches of everyday objects such as ‘teapot’ or ‘car’. This paper is the first large scale exploration of human sketches. Even today, sketching is possibly the only rendering technique readily available to all humans. Humans have used sketching to depict our visual world since prehistoric times. If you face any issues or have any questions, please comment below.Figure 1: In this paper we explore how humans sketch and recognize objects from 250 categories – such as the ones shown above. Hope this guide helps you to enjoy PhotoSketcher on your Windows PC or Mac Laptop. Double-click the app icon to open and use the PhotoSketcher in your favorite Windows PC or Mac.
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