BRDF Reconstruction Using Compressive Sensing.
Bildiriler > Tam Metin Bildiri
Yazarlar: Nurcan Seylan, Serkan Ergun, Aydın Öztürk
Digital Library (University of West Bohemia), , , Uluslararası, Tam Metin Bildiri, ss 88-94
Özet
Compressive sensing is a technique for efficiently acquiring and reconstructing the data. This technique takes\nadvantage of sparseness or compressibility of the data, allowing the entire measured data to be recovered from\nrelatively few measurements. Considering the fact that the BRDF data often can be highly sparse, we propose to\nemploy the compressive sensing technique for an efficient reconstruction. We demonstrate how to use compressive\nsensing technique to facilitate a fast procedure for reconstruction of large BRDF data. We have showed that\nthe proposed technique can also be used for the data sets having some missing measurements. Using BRDF\nmeasurements of various isotropic materials, we obtained high quality images at very low sampling rates both for\ndiffuse and glossy materials. Similar results also have been obtained for the specular materials at slightly higher\nsampling rates.