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» Computational methods for understanding 3D shapes
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ACCV
2006
Springer
14 years 4 months ago
Virtual Fashion Show Using Real-Time Markerless Motion Capture
Abstract. This paper presents a motion capture system using two cameras that is capable of estimating a constrained set of human postures in real time. We first obtain a 3D shape ...
Ryuzo Okada, Björn Stenger, Tsukasa Ike, Nobu...
ICIP
2010
IEEE
13 years 8 months ago
A classifier based approach for the detection of potential threats in CT based Baggage Screening
Recent years have seen increased use of Computed Tomography (CT) based Unaccompanied Baggage and Package Screening (UBPS) systems for luggage examination to ensure air travel secu...
Najla Megherbi, Gregory T. Flitton, Toby P. Brecko...
IVC
2010
92views more  IVC 2010»
13 years 8 months ago
Shape from incomplete silhouettes based on the reprojection error
Traditional shape from silhouette methods compute the 3D shape as the intersection of the back-projected silhouettes in the 3D space, the so called visual hull. However, silhouett...
Gloria Haro, Montse Pardàs
PRL
2007
108views more  PRL 2007»
13 years 9 months ago
Towards a measure of deformability of shape sequences
In this paper we develop a theory for characterizing how deformable a shape is given a sequence of its observations. We define a term called ‘‘deformability index’’ (DI) ...
Amit K. Roy Chowdhury
CVPR
2005
IEEE
15 years 8 days ago
Face Recognition Based on Frontal Views Generated from Non-Frontal Images
This paper presents a method for face recognition across large changes in viewpoint. Our method is based on a Morphable Model of 3D faces that represents face-specific information...
Volker Blanz, Patrick Grother, P. Jonathon Phillip...