Abstract
Polarizing filters provide a powerful way to separate diffuse and specular reflection; however, traditional methods rely on several captures and require proper alignment of the filters. Recently, camera manufacturers have proposed to embed polarizing micro-filters in front of the sensor, creating a mosaic of pixels with different polarizations. In this paper, we investigate the advantages of such camera designs. In particular, we consider different design patterns for the filter arrays and propose an algorithm to demosaic an image generated by such cameras. This essentially allows us to separate the diffuse and specular components using a single image. The performance of our algorithm is compared with a color-based method using synthetic and real data. Finally, we demonstrate how we can recover the normals of a scene using the diffuse images estimated by our method.
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Notes
- 1.
Note that we use bold uppercase letters for matrix notation and the same letter in lowercase for its flattened version. Throughout this chapter, we interchangeably use both notations to denote the same object.
- 2.
Technically, the TV norm is only a semi-norm.
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Jospin, L.V., Baechler, G., Scholefield, A. (2019). Embedded Polarizing Filters to Separate Diffuse and Specular Reflection. In: Jawahar, C., Li, H., Mori, G., Schindler, K. (eds) Computer Vision – ACCV 2018. ACCV 2018. Lecture Notes in Computer Science(), vol 11362. Springer, Cham. https://doi.org/10.1007/978-3-030-20890-5_1
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