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» Monocular Depth by Nonlinear Diffusion
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ICVGIP
2008
13 years 6 months ago
Monocular Depth by Nonlinear Diffusion
Following the phenomenological approach of gestaltists, sparse monocular depth cues such as T- and X-junctions and the local convexity are crucial to identify the shape and depth ...
Jean-Michel Morel, Philippe Salembier
ICIAP
2003
ACM
14 years 4 months ago
Dense 3D interpretation of image sequences: a variational approach using anisotropic diffusion
The purpose of this study is to investigate a new method for recovering relative depth and 3D motion from a temporal sequence of monocular images. The method is direct insomuch as...
Hicham Sekkati, Amar Mitiche
AMDO
2000
Springer
13 years 9 months ago
Model Adaptation and Posture Estimation of Moving Articulated Object Using Monocular Camera
This paper presents a method of estimating both 3-D shapes and moving poses of an articulated object from a monocular image sequence. Instead of using direct depth data, prior loo...
Nobutaka Shimada, Yoshiaki Shirai, Yoshinori Kuno
PAMI
2006
358views more  PAMI 2006»
13 years 4 months ago
Recovering 3D Human Pose from Monocular Images
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 pri...
Ankur Agarwal, Bill Triggs
SIAMADS
2010
97views more  SIAMADS 2010»
12 years 11 months ago
Localized States in a Model of Pattern Formation in a Vertically Vibrated Layer
Abstract. We consider a novel asymptotic limit of model equations proposed to describe the formation of localized states in a vertically vibrated layer of granular material or visc...
J. H. P. Dawes, S. Lilley