LOW MEMORY COST SCAN-BASED WAVELET TRANSFORM FOR 3D MULTIRESOLUTION MESHES USING THE UNLIFTED BUTTERFLY FILTER

Anis Meftah (1) , Marc Antonini (1) , Akram Elkefi (1, 2) , Chokri Ben Amar (2)

1 Laboratoire d'Informatique, Signaux, et Systèmes de Sophia-Antipolis (I3S) / Equipe IMAGES-CREATIVE
2 CEM Lab - ENIS - Département de Génie Électrique de Sfax [ENIS]

In this paper we introduce a low memory cost 3D scan-based wavelet transform using the unlifted butterfly scheme. This method consists in processing the data progressively during acquisition while reducing considerably the memory usage. The resulting wavelet coefficients are identical to the one obtained if the whole 3D object was stored in memory. Furthermore, experimental results show that the proposed method is very efficient in term of memory cost.

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Anis Meftah, Marc Antonini, Akram Elkefi, Chokri Ben Amar. LOW MEMORY COST SCAN-BASED WAVELET TRANSFORM FOR 3D MULTIRESOLUTION MESHES USING THE UNLIFTED BUTTERFLY FILTER. International Symposium on Image/Video Communication over fixed and mobile networks, Aug 2006, Hammamet, Tunisia. ⟨hal-00384171⟩