47 search results - page 7 / 10 » Shape Alignment by Learning a Landmark-PDM Coupled Model |
CVPR
2004
IEEE
13 years 10 months ago
2004
IEEE
In this paper, we propose a generative model for representing complex motion, such as wavy river, dancing fire and dangling cloth. Our generative method consists of four component...
CVPR
2004
IEEE
14 years 8 months ago
2004
IEEE
We present a complete system for the purpose of automatically assembling 3D pots given 3D measurements of their fragments commonly called sherds. A Bayesian approach is formulated...
PAMI
2010
13 years 5 months ago
2010
In this paper, we address the tasks of detecting, segmenting, parsing, and matching deformable objects. We use a novel probabilistic object model that we call a hierarchical defor...
ICCV
2009
IEEE
14 years 11 months ago
2009
IEEE
A prototype-based approach is introduced for action
recognition. The approach represents an action as a se-
quence of prototypes for efficient and flexible action match-
ing in ...
CVPR
2012
IEEE
11 years 9 months ago
2012
IEEE
We study unsupervised learning of occluding objects in images of visual scenes. The derived learning algorithm is based on a probabilistic generative model which parameterizes obj...