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CVPR
2012
IEEE
11 years 10 months ago
From Pictorial Structures to deformable structures
Pictorial Structures (PS) define a probabilistic model of 2D articulated objects in images. Typical PS models assume an object can be represented by a set of rigid parts connecte...
Silvia Zuffi, Oren Freifeld, Michael J. Black
NIPS
2001
13 years 9 months ago
Unsupervised Learning of Human Motion Models
This paper presents an unsupervised learning algorithm that can derive the probabilistic dependence structure of parts of an object (a moving human body in our examples) automatic...
Yang Song, Luis Goncalves, Pietro Perona
ICIP
1997
IEEE
14 years 9 months ago
Model Based Extraction of Articulated Objects in Image Sequences for Gait Analysis
This paper describes an approach to the extraction of articulated objects which will be used for gait analysis. In most medical applications markers are used to determine trajecto...
Dorthe Meyer, Joachim Denzler, Heinrich Niemann
ICMCS
2005
IEEE
99views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Segmentation of 3D Objects Using Pulse-Coupled Oscillator Networks
Along with image and video libraries, archives of 3D models have recently gained increasing attention. Accordingly, there is an increasing demand for solutions enabling retrieval ...
Eva Ceccarelli, Alberto Del Bimbo, Pietro Pala
ICAPR
2005
Springer
14 years 1 months ago
Missing Data Estimation Using Polynomial Kernels
Abstract. In this paper, we deal with the problem of partially observed objects. These objects are defined by a set of points and their shape variations are represented by a statis...
Maxime Berar, Michel Desvignes, Gérard Bail...