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» Learning Object Shape: From Drawings to Images
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MICCAI
2005
Springer
15 years 10 months ago
Multiscale 3D Shape Analysis Using Spherical Wavelets
Shape priors attempt to represent biological variations within a population. When variations are global, Principal Component Analysis (PCA) can be used to learn major modes of vari...
Delphine Nain, Steven Haker, Aaron F. Bobick, Alle...
ICCV
2001
IEEE
15 years 11 months ago
3D Object Tracking Using Shape-Encoded Particle Propagation
We present a comprehensive treatment of 3D object tracking by posing it as a nonlinear state estimation problem. The measurements are derived using the outputs of shape-encoded fi...
Hankyu Moon, Rama Chellappa, Azriel Rosenfeld
CORR
2011
Springer
211views Education» more  CORR 2011»
14 years 1 months ago
Labeling 3D scenes for Personal Assistant Robots
—Inexpensive RGB-D cameras that give an RGB image together with depth data have become widely available. We use this data to build 3D point clouds of a full scene. In this paper,...
Hema Swetha Koppula, Abhishek Anand, Thorsten Joac...
SIGGRAPH
1996
ACM
15 years 2 months ago
View Morphing
Image morphing techniques can generate compelling 2D transitions between images. However, differences in object pose or viewpoint often cause unnatural distortions in image morphs...
Steven M. Seitz, Charles R. Dyer
EMMCVPR
2005
Springer
15 years 3 months ago
One-Shot Integral Invariant Shape Priors for Variational Segmentation
Abstract. We match shapes, even under severe deformations, via a smooth reparametrization of their integral invariant signatures. These robust signatures and correspondences are th...
Siddharth Manay, Daniel Cremers, Anthony J. Yezzi,...