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» Coarse-to-Fine Object Recognition Using Shock Graphs
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ICPR
2010
IEEE
14 years 7 months ago
Multi-class Graph Boosting with Subgraph Sharing for Object Recognition
In this paper, we propose a novel multi-class graph boosting algorithm to recognize different visual objects. The proposed method treats subgraph as feature to construct base clas...
Bang Zhang, Getian Ye, Yang Wang 0002, Wei Wang, J...
IBPRIA
2003
Springer
15 years 2 months ago
Segmentation of Curvilinear Objects Using a~Watershed-Based Curve Adjacency Graph
Abstract. This paper presents a general framework to segment curvilinear objects in 2D images. A pre-processing step relies on mathematical morphology to obtain a connected line wh...
Thierry Géraud
GBRPR
2005
Springer
15 years 3 months ago
A Graph-Based, Multi-resolution Algorithm for Tracking Objects in Presence of Occlusions
One of the main difficult problem in video analysis is to track moving objects during a video sequence, especially in presence of occlusions. Unfortunately, almost all the differ...
Donatello Conte, Pasquale Foggia, Jean-Michel Joli...
ACCV
2009
Springer
15 years 4 months ago
Skeleton Graph Matching Based on Critical Points Using Path Similarity
This paper proposes a novel graph matching algorithm based on skeletons and applies it to shape recognition based on object silhouettes. The main idea is to match the critical poin...
Yao Xu, Bo Wang, Wenyu Liu, Xiang Bai
ICASSP
2011
IEEE
14 years 1 months ago
Generic object recognition using automatic region extraction and dimensional feature integration utilizing multiple kernel learn
Recently, in generic object recognition research, a classification technique based on integration of image features is garnering much attention. However, with a classifying techn...
Toru Nakashika, Akira Suga, Tetsuya Takiguchi, Yas...