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340,471
Real-Time Tracking of Non-Rigid Objects using Mean Shift
- IEEE CVPR 2000
, 2000
"... A new method for real-time tracking of non-rigid objects seen from a moving camera isproposed. The central computational module is based on the mean shift iterations and nds the most probable target position in the current frame. The dissimilarity between the target model (its color distribution) an ..."
Abstract
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Cited by 809 (20 self)
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A new method for real-time tracking of non-rigid objects seen from a moving camera isproposed. The central computational module is based on the mean shift iterations and nds the most probable target position in the current frame. The dissimilarity between the target model (its color distribution
Quasi-Rigid Objects in Contact
, 2004
"... We investigate techniques for modeling contact between quasi-rigid objects -- solids that undergo modest deformation in the vicinity of a contact, while the overall object still preserves its basic shape. The quasi-rigid model combines the benefits of rigid body models for dynamic simulation and t ..."
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We investigate techniques for modeling contact between quasi-rigid objects -- solids that undergo modest deformation in the vicinity of a contact, while the overall object still preserves its basic shape. The quasi-rigid model combines the benefits of rigid body models for dynamic simulation
Rolling Rigid Objects
"... Simulating the dynamics of rigid bodies plays an important role in virtual reality applications such as virtual assembly planning and ergonomy studies but also in the eld of computer animation. In order to decrease the complexity of the object representations and to increase the accuracy of the s ..."
Abstract
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Simulating the dynamics of rigid bodies plays an important role in virtual reality applications such as virtual assembly planning and ergonomy studies but also in the eld of computer animation. In order to decrease the complexity of the object representations and to increase the accuracy
RIGID OBJECTS IN HIGHER CLUSTER CATEGORIES
, 2009
"... We study maximal m-rigid objects in the m-cluster category Cm H associated with a finite dimensional hereditary algebra H with n nonisomorphic simple modules. We show that all maximal m-rigid objects in these categories have exactly n nonisomorphic indecomposable summands, and that any almost compl ..."
Abstract
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Cited by 7 (1 self)
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We study maximal m-rigid objects in the m-cluster category Cm H associated with a finite dimensional hereditary algebra H with n nonisomorphic simple modules. We show that all maximal m-rigid objects in these categories have exactly n nonisomorphic indecomposable summands, and that any almost
On the Rocking Behavior of Rigid Objects
, 2004
"... Abstract. A novel formulation for the rocking motion of a rigid block on a rigid foundation is presented in this work. The traditional piecewise equations are replaced by a single ordinary differ-ential equation. In addition, damping effects are no longer introduced by means of a coefficient of rest ..."
Abstract
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Cited by 3 (0 self)
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Abstract. A novel formulation for the rocking motion of a rigid block on a rigid foundation is presented in this work. The traditional piecewise equations are replaced by a single ordinary differ-ential equation. In addition, damping effects are no longer introduced by means of a coefficient
Rolling Rigid Objects
, 2001
"... Simulating the dynamics of rigid bodies plays an important role in virtual reality applications such as virtual assembly planning and ergonomy studies but also in the eld of computer animation. ..."
Abstract
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Simulating the dynamics of rigid bodies plays an important role in virtual reality applications such as virtual assembly planning and ergonomy studies but also in the eld of computer animation.
Tracking and Modeling Non-Rigid Objects with Rank Constraints
, 2001
"... This paper presents a novel solution for flow-based tracking and 3D reconstruction of deforming objects in monocular image sequences. A non-rigid 3D object undergoing rotation and deformation can be effectively approximated using a linear combination of 3D basis shapes. This puts a bound on the rank ..."
Abstract
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Cited by 156 (6 self)
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This paper presents a novel solution for flow-based tracking and 3D reconstruction of deforming objects in monocular image sequences. A non-rigid 3D object undergoing rotation and deformation can be effectively approximated using a linear combination of 3D basis shapes. This puts a bound
Multiple-camera Tracking of Rigid Objects
- In: INRIA. (2001
, 2001
"... In this paper we describe a method for tracking rigid objects using one or several cameras. The tracking process consists of aligning a 3-D model representation of an object with image contours by measuring and minimizing the image error between predicted model points and image contours. The tracker ..."
Abstract
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Cited by 4 (0 self)
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In this paper we describe a method for tracking rigid objects using one or several cameras. The tracking process consists of aligning a 3-D model representation of an object with image contours by measuring and minimizing the image error between predicted model points and image contours
Kernel-Based Object Tracking
, 2003
"... A new approach toward target representation and localization, the central component in visual tracking of non-rigid objects, is proposed. The feature histogram based target representations are regularized by spatial masking with an isotropic kernel. The masking induces spatially-smooth similarity fu ..."
Abstract
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Cited by 889 (4 self)
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A new approach toward target representation and localization, the central component in visual tracking of non-rigid objects, is proposed. The feature histogram based target representations are regularized by spatial masking with an isotropic kernel. The masking induces spatially-smooth similarity
Probabilistic Visual Learning for Object Representation
, 1996
"... We present an unsupervised technique for visual learning which is based on density estimation in high-dimensional spaces using an eigenspace decomposition. Two types of density estimates are derived for modeling the training data: a multivariate Gaussian (for unimodal distributions) and a Mixture-of ..."
Abstract
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Cited by 705 (15 self)
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, recognition, and coding of human faces and non-rigid objects such as hands.
Results 1 - 10
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340,471
