Geometric hashing

In computer science, geometric hashing is originally a method for efficiently finding two-dimensional objects represented by discrete points that… (More)
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2010
2010
This paper proposes an efficient indexing scheme for searching large iris biometric database that achieves invariance to… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
Highly Cited
2006
Highly Cited
2006
This article introduces a method for partial matching of surfaces represented by triangular meshes. Our method matches surface… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Is this relevant?
2006
2006
We propose a novel representation of local image structure and a matching scheme that are insensitive to a wide range of… (More)
Is this relevant?
2001
2001
In this paper we introduce the idea of using Computer Vision techniques for improving and enhancing watermarking capabilities… (More)
  • figure 1
  • figure 2
  • figure 3
  • figure 5
  • figure 4
Is this relevant?
Review
1997
Review
1997
Is this relevant?
1997
1997
This special issue presents a small sample of the past 12 years’ work in applied geometric hashing for efficiently accessing very… (More)
  • figure 7
Is this relevant?
1997
1997
a Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or… (More)
  • figure 5
  • figure 9
  • figure 10
Is this relevant?
1991
1991
We present an experimental and theoretical analysis of the noise model in the Geometric Hashing technique. In particular the… (More)
  • table 3
  • table 4
  • table 7
  • table 8
Is this relevant?
Highly Cited
1990
Highly Cited
1990
Geometric Hashing is a technique for recognizing partially occluded objects from noisy data. It uses ofline preprocessing to… (More)
  • figure 1
  • table 1
  • figure 3
  • figure 4
Is this relevant?
Highly Cited
1990
Highly Cited
1990
The Geometric Hashing paradigm for model-based recognition of objects in cluttered scenes is dis~ cussed. This paradigm enables a… (More)
  • figure 1
Is this relevant?