The goal of this chapter is twofold. Firstly, we provide the reader with a summary of the state-of-the-art depth map interpolation techniques. Secondly, we present recent results making use of markovian priors for depth map interpolation. Specifically, we provide insight into Markovian mathematical models recently presented in the literature, and we show that such priors allow interpolation without making use of contemporaneously acquired luminance views. This feature extends the scope of the interpolation procedure and decouple its performances from those of the luminance/depth images registration stage.
Current research results on depth map interpolation techniques / Colonnese, Stefania; Rinauro, Stefano; Scarano, Gaetano. - (2014), pp. 187-200. - LECTURE NOTES IN COMPUTATIONAL VISION AND BIOMECHANICS. [10.1007/978-3-319-04039-4_11].
Current research results on depth map interpolation techniques
COLONNESE, Stefania;RINAURO, STEFANO;SCARANO, Gaetano
2014
Abstract
The goal of this chapter is twofold. Firstly, we provide the reader with a summary of the state-of-the-art depth map interpolation techniques. Secondly, we present recent results making use of markovian priors for depth map interpolation. Specifically, we provide insight into Markovian mathematical models recently presented in the literature, and we show that such priors allow interpolation without making use of contemporaneously acquired luminance views. This feature extends the scope of the interpolation procedure and decouple its performances from those of the luminance/depth images registration stage.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.