JOURNAL ARTICLE

Non-rigid Object Matching Using Hypergraph Method

Abstract

We present a non-rigid object matching algorithm based on hyper graph method. Previous work has achieved good performance for rigid object matching. However, because of deformation and wrinkle, existing algorithms cannot solve non-rigid object matching problem effectively. This paper mainly focuses on matching patterns on cloth which often deforms greatly. First, we extract stable regions from the given image. Second, we combine several features in region as bundled feature. In addition, we describe the characteristic of region based on bundled feature and the relationship among regions based on star topology. Finally, we establish the problem model and get the matching result by mathematical programming technique and refinement. Experimental results on both synthetic data and real image show the good performance of our algorithm.

Keywords:
Matching (statistics) Computer science Feature (linguistics) Object (grammar) Feature matching 3-dimensional matching Artificial intelligence Hypergraph Image (mathematics) Deformation (meteorology) Graph Algorithm Computer vision Pattern recognition (psychology) Topology (electrical circuits) Theoretical computer science Mathematics Bipartite graph Discrete mathematics

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Topics

Advanced Image and Video Retrieval Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Graph Theory and Algorithms
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Robotics and Sensor-Based Localization
Physical Sciences →  Engineering →  Aerospace Engineering
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