In this paper we propose a novel framework for 3D object categorization. The object is modeled it in terms of its sub-parts as an histogram of 3D visual word occurrences. We introd...
Roberto Toldo, Umberto Castellani, Andrea Fusiello
We propose a mathematical approach for quantifying shape complexity of 3D surfaces based on perceptual principles of visual saliency. Our curvature variation measure (CVM), as a 3...
Sreenivas R. Sukumar, David Page, Andrei V. Gribok...
The 3D reconstruction from 2D broadcast video is a challenging problem with many potential applications, such as 3DTV, free-viewpoint video or augmented reality. In this paper, a ...
Sebastian Knorr, Evren Imre, Burak Ozkalayci, A. A...
Currently there are little objective parameters that can quantify the success of one form of prostate surgical removal over another. Accordingly, at Old Dominion University (ODU) ...
Frederic Rick McKenzie, Rania Hussein, Jennifer Se...
A solution for part segmentation of 3D objects is proposed in this paper. The approach is targeted to identify salient visual parts of a mesh by determining its main protrusions a...
Gianni Antini, Stefano Berretti, Alberto Del Bimbo...