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» Embedding Data in 3D Models
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CVPR
2009
IEEE
16 years 7 months ago
Visibility Constraints on Features of 3D Objects
To recognize three-dimensional objects it is important to model how their appearances can change due to changes in viewpoint. A key aspect of this involves understanding which o...
Ronen Basri, Pedro F. Felzenszwalb, Ross B. Girshi...
CVPR
2004
IEEE
16 years 1 months ago
3D Human Pose from Silhouettes by Relevance Vector Regression
We describe a learning based method for recovering 3D human body pose from single images and monocular image sequences. Our approach requires neither an explicit body model nor pr...
Ankur Agarwal, Bill Triggs
ISDA
2006
IEEE
15 years 5 months ago
Enhancing 3D Face Recognition By Mimics Segmentation
In this paper, we present a novel approach for face recognition and authentication based on dimensional surface matching. While most of existing methods use facial intensity image...
Boulbaba Ben Amor, Mohsen Ardabilian, Liming Chen
ICCV
2005
IEEE
15 years 5 months ago
Priors for People Tracking from Small Training Sets
We advocate the use of Scaled Gaussian Process Latent Variable Models (SGPLVM) to learn prior models of 3D human pose for 3D people tracking. The SGPLVM simultaneously optimizes a...
Raquel Urtasun, David J. Fleet, Aaron Hertzmann, P...
ICCV
2005
IEEE
16 years 1 months ago
3D Shape Recognition and Reconstruction Based on Line Element Geometry
This paper presents a new method for the recognition and reconstruction of surfaces from 3D data. Line element geometry, which generalizes both line geometry and the Laguerre geom...
Michael Hofer, Boris Odehnal, Helmut Pottmann, Tib...