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» Recognition of Parametrised Models from 3D Data
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CVPR
2008
IEEE
16 years 3 months ago
Learning 4D action feature models for arbitrary view action recognition
In this paper we present a novel approach using a 4D (x,y,z,t) action feature model (4D-AFM) for recognizing actions from arbitrary views. The 4D-AFM elegantly encodes shape and m...
Pingkun Yan, Saad M. Khan, Mubarak Shah
CVPR
2011
IEEE
14 years 9 months ago
Energy Based Multiple Model Fitting for Non-Rigid Structure from Motion
In this paper we reformulate the 3D reconstruction of deformable surfaces from monocular video sequences as a labeling problem. We solve simultaneously for the assignment of featu...
Chris Russell, Joao Fayad, Lourdes Agapito
ECCV
1994
Springer
16 years 3 months ago
Utilizing symmetry in the reconstruction of three-dimensional shape from noisy images
In previous applications, bilateral symmetry of objects was used either as a descriptive feature in domains such as recognition and grasping, or as a way to reduce the complexity o...
Hagit Zabrodsky, Daphna Weinshall
122
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CVPR
2010
IEEE
15 years 9 months ago
Model Evolution: An Incremental Approach to Non-Rigid Structure from Motion
In this paper, we present a new framework for non-rigid structure from motion (NRSFM) that simultaneously addresses three significant challenges: severe occlusion, perspective ca...
Shengqi Zhu, Li Zhang, Brandon Smith
ICCV
2009
IEEE
16 years 6 months ago
Optimal Correspondences from Pairwise Constraints
Correspondence problems are of great importance in computer vision. They appear as subtasks in many applications such as object recognition, merging partial 3D reconstructions a...
Olof Enqvist, Klas Josephson, Fredrik Kahl