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» Invariants for Non-Hierarchical Object Structures
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ICPR
2000
IEEE
13 years 11 months ago
Segmentation and Surface Characterization of Arbitrary 3D Meshes for Object Reconstruction and Recognition
Polygonal models are the most common representation of structured 3D data in computer graphics, pattern recognition and machine vision. The method presented here automatically ide...
Georgios Papaioannou, Evaggelia-Aggeliki Karabassi...
ICCV
1995
IEEE
13 years 11 months ago
A Multi-Body Factorization Method for Motion Analysis
The structure-from-motion problem has been extensively studied in the field of computer vision. Yet, the bulk of the existing work assumes that the scene contains only a single m...
João Paulo Costeira, Takeo Kanade
SIAMIS
2011
13 years 2 months ago
A New Geometric Metric in the Space of Curves, and Applications to Tracking Deforming Objects by Prediction and Filtering
We define a novel metric on the space of closed planar curves which decomposes into three intuitive components. According to this metric centroid translations, scale changes and ...
Ganesh Sundaramoorthi, Andrea Mennucci, Stefano So...
VMV
2001
145views Visualization» more  VMV 2001»
13 years 8 months ago
Registering Real-Scene to Virtual Imagery Using Robust Image Features
The ability to locate objects in a real-time video and relate them to virtual objects in a database is important in a number of applications including visually-guided robotic navi...
Yi Lu Murphey, Jianxin Zhang, Michael DelRose
CVPR
2008
IEEE
14 years 9 months ago
Unsupervised learning of probabilistic object models (POMs) for object classification, segmentation and recognition
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
Yuanhao Chen, Long Zhu, Alan L. Yuille, HongJiang ...