The Role of Graphs in Matching Shapes and in Categorization
Brown University
School of Engineering
Providence, Rhode Island, USA
kimia@lems.brown.edu
CONTENTS
14.2 Using Shock Graphs for Shape Matching
14.3 Using Proximity Graphs for Categorization
14.3.1 Indexing: Euclidean versus Metric Spaces
14.3.2 Metric-based Indexing Methods
14.3.3 Capturing the Local Topology
This chapter explores the value of graphs in computer vision from the perspective of representing both structural quantum variations as well as metric changes, as applied to the matching and categorization problems. It briefly overviews our particular approach in using ...
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