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Communication Dans Un Congrès Année : 2019

Joint Multi-view Texture Super-resolution and Intrinsic Decomposition

Résumé

We aim to recover a high resolution texture representation of objects observed from multiple view points under varying lighting conditions. For many applications the lighting conditions need to be changed and thus require a texture decomposition into shading and albedo components. Both texture super-resolution and intrinsic texture decomposition have been separately studied in the literature. Yet, no method has investigated how these methods can be combined. We propose a framework for joint texture map superresolution and intrinsic decomposition. To this end, we define shading and albedo maps of the 3D object as the intrinsic properties of its texture and introduce an image formation model to describe the physics of the image generation. Our approach accounts for surface geometry and camera calibation errors and is also applicable to spatio-temporal sequences. Our method achieves state-of-the-art results on a variety of datasets.
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Dates et versions

hal-03707936 , version 1 (28-06-2022)

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Paternité - Pas d'utilisation commerciale

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  • HAL Id : hal-03707936 , version 1

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Vagia Tsiminaki, Wei Dong, Martin R Oswald, Marc Pollefeys. Joint Multi-view Texture Super-resolution and Intrinsic Decomposition. 30th British Machine Vision Conference (BMVC 2019), Sep 2019, Cardiff, United Kingdom. ⟨hal-03707936⟩
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