Adding Depth to Cartoons Using Sparse Depth (In)equalities

Sykora, D; Sedlacek, D; Jinchao, S; Dingliana, J and Collins, Steven. 2010. Adding Depth to Cartoons Using Sparse Depth (In)equalities. Computer Graphics Forum, 29(2), pp. 615-623. ISSN 0167-7055 [Article]

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Abstract or Description

This paper presents a novel interactive approach for adding depth information into hand-drawn cartoon images and animations. In comparison to previous depth assignment techniques our solution requires minimal user effort and enables creation of consistent pop-ups in a matter of seconds. Inspired by perceptual studies we formulate a custom tailored optimization framework that tries to mimic the way that a human reconstructs depth information from a single image. Its key advantage is that it completely avoids inputs requiring knowledge of absolute depth and instead uses a set of sparse depth (in)equalities that are much easier to specify. Since these constraints lead to a solution based on quadratic programming that is time consuming to evaluate we propose a simple approximative algorithm yielding similar results with much lower computational overhead. We demonstrate its usefulness in the context of a cartoon animation production pipeline including applications such as enhancement, registration, composition, 3D modelling and stereoscopic display.

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Gunter Enderle Best Paper Award

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May 2010Published

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02 Dec 2015 11:13

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07 Jan 2016 16:14

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Yes, this version has been peer-reviewed.


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