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» A Bernoulli Relational Model for Nonlinear Embedding
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ICML
2006
IEEE
14 years 5 months ago
Local distance preservation in the GP-LVM through back constraints
The Gaussian process latent variable model (GP-LVM) is a generative approach to nonlinear low dimensional embedding, that provides a smooth probabilistic mapping from latent to da...
Joaquin Quiñonero Candela, Neil D. Lawrence
CVPR
2006
IEEE
14 years 6 months ago
Epipolar Geometry of Central Projection Systems Using Veronese Maps
We study the epipolar geometry between views acquired by mixtures of central projection systems including catadioptric sensors and cameras with lens distortion. Since the projecti...
João P. Barreto, Kostas Daniilidis
ICCV
1995
IEEE
13 years 8 months ago
Algorithms for Implicit Deformable Models
This paper presents a framework for implicit deformable models and a pair of new algorithms for solving the nonlinear partial di erential equations that result from this framework...
Ross T. Whitaker
CVPR
2012
IEEE
11 years 7 months ago
Finite Element based sequential Bayesian Non-Rigid Structure from Motion
Navier’s equations modelling linear elastic solid deformations are embedded within an Extended Kalman Filter (EKF) to compute a sequential Bayesian estimate for the Non-Rigid St...
Antonio Agudo, Begoña Calvo, J. M. M. Monti...
BMVC
2010
13 years 2 months ago
Manifold Learning for ToF-based Human Body Tracking and Activity Recognition
In this paper, we propose a method for simultaneous human full-body pose tracking and activity recognition from time-of-flight (ToF) camera images. Simple and sparse depth cues ar...
Loren Arthur Schwarz, Diana Mateus, Victor Castane...