Error tolerant graph matching is required not only in many realistic object recognition
scenarios, but also in different domains such as document analysis and mechanical …

This paper aims at detecting objects via a partial shape matching in unlabeled real images.
As both the scale and consistent fragment extraction are troublesome issues in computer …

In recent decades, the need for efficient and effective image search from large databases
has increased. In this paper, we present a novel shape matching framework based on …

目的解决当前基于曲率尺度空间CSS 的图形检索算法仅仅使用了曲率空间图的峰值,
且该峰值数量是根据图像形状不断变化的, 加上其忽略了图形的重要特征 …

This article introduces an automated image matching technique called Scale Invariant
Feature Transform (SIFT) as a tool to supplement the collation of problematic cuneiform …

Due to representative power of graphs, graph-based object recognition has received a great
deal of research attention in literature. Given an object represented as a graph, performing …

One of the methods for object recognition is based on graph embedding. By representing
objects expressed as graphs into the vector space, this technique makes it possible to use …