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» Coarse-to-Fine Object Recognition Using Shock Graphs
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ECCV
2004
Springer
16 years 3 months ago
A Statistical Model for General Contextual Object Recognition
We consider object recognition as the process of attaching meaningful labels to specific regions of an image, and propose a model that learns spatial relationships between objects....
Peter Carbonetto, Nando de Freitas, Kobus Barnard
CVPR
2007
IEEE
16 years 3 months ago
Layered Graph Match with Graph Editing
Many vision tasks are posed as either graph partitioning (coloring) or graph matching (correspondence) problems. The former include segmentation and grouping, and the latter inclu...
Liang Lin, Song Chun Zhu, Yongtian Wang
130
Voted
ECAI
2008
Springer
15 years 3 months ago
Sequential spatial reasoning in images based on pre-attention mechanisms and fuzzy attribute graphs
Spatial relations play a crucial role in model-based image recognition and interpretation due to their stability compared to many other image appearance characteristics, and graphs...
Geoffroy Fouquier, Jamal Atif, Isabelle Bloch
3DOR
2009
15 years 2 months ago
Retrieval of 3D Articulated Objects Using a Graph-based Representation
Most of the approaches which address the problem of 3D object retrieval, use global descriptors of the objects which fail to consistently compensate for the intra-class variabilit...
Alexander Agathos, Ioannis Pratikakis, Panagiotis ...
127
Voted
ECCV
2004
Springer
16 years 3 months ago
Many-to-Many Feature Matching Using Spherical Coding of Directed Graphs
In recent work, we presented a framework for many-to-many matching of multi-scale feature hierarchies, in which features and their relations were captured in a vertex-labeled, edge...
M. Fatih Demirci, Ali Shokoufandeh, Sven J. Dickin...