Sciweavers

IJCV
2008
288views more  IJCV 2008»
13 years 3 months ago
Mutual Information-Based 3D Object Tracking
Abstract We propose a robust methodology for 3D modelbased markerless tracking of textured objects in monocular image sequences. The technique is based on mutual information maximi...
Giorgio Panin, Alois Knoll
TITS
2002
160views more  TITS 2002»
13 years 3 months ago
Detection and classification of vehicles
Abstract-This paper presents algorithms for vision-based detection and classification of vehicles in monocular image sequences of traffic scenes recorded by a stationary camera. Pr...
Surendra Gupte, Osama Masoud, Robert F. K. Martin,...
CG
2010
Springer
13 years 4 months ago
Realistic cloth augmentation in single view video under occlusions
Augmenting cloth in real video is a challenging task because cloth performs complex motions and deformations and produces complex shading on the surface. Therefore, for a realisti...
Anna Hilsmann, David C. Schneider, Peter Eisert
ICCV
1995
IEEE
13 years 7 months ago
Complete Scene Structure from Four Point Correspondences
A new technique is presented for computing 3D scene structure from point and line features in monocular image sequences. Unlike previous methods, the technique guarantees the comp...
Steven M. Seitz, Charles R. Dyer
CGI
1998
IEEE
13 years 8 months ago
Automatic 3D Model Acquisition from Uncalibrated Image Sequences
In this paper the problem of obtaining 3D models from image sequences is addressed. The proposed method deals with uncalibrated monocular image sequences. No prior knowledge about...
Reinhard Koch, Marc Pollefeys, Luc J. Van Gool
WACV
2002
IEEE
13 years 9 months ago
Face Model Adaptation using Robust Matching and Active Appearance Models
This paper addresses the 3D tracking of pose and animation of the human face in monocular image sequences using deformable 3D models. For each frame, the proposed adaptation is sp...
Fadi Dornaika, Jörgen Ahlberg
CVPR
2010
IEEE
14 years 18 days ago
Monocular 3D Pose Estimation and Tracking by Detection
Automatic recovery of 3D human pose from monocular image sequences is a challenging and important research topic with numerous applications. Although current methods are able to r...
Mykhaylo Andriluka, Stefan Roth, Bernt Schiele
ECCV
2000
Springer
14 years 6 months ago
Stochastic Tracking of 3D Human Figures Using 2D Image Motion
A probabilistic method for tracking 3D articulated human figures in monocular image sequences is presented. Within a Bayesian framework, we define a generative model of image appea...
Hedvig Sidenbladh, Michael J. Black, David J. Flee...
ICCV
2001
IEEE
14 years 6 months ago
Learning Image Statistics for Bayesian Tracking
This paper describes a framework for learning probabilistic models of objects and scenes and for exploiting these models for tracking complex, deformable, or articulated objects i...
Hedvig Sidenbladh, Michael J. Black
CVPR
2004
IEEE
14 years 6 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