Skip to search formSkip to main content
You are currently offline. Some features of the site may not work correctly.

Dynamic link matching

Dynamic link matching is a neuronal model for face recognition. It uses wavelet transformations to encode incoming image data. Bunch graph matching… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2006
2006
Abstract In this paper we show that an unsupervised two-layered oscillatory neural network with inter- and intra-layer… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
2004
2004
Abstract An image recognition model that combines some neural network-based image processing models is proposed. The recognition… Expand
  • figure 1
  • figure 2
  • figure 3
2003
2003
The ”dynamic link matching” (DLM) has been first proposed by Konen et al. [1] to solve the visual correspondence problem. The… Expand
  • figure 1
  • figure 2
1998
1998
Two variants of dynamic link matching based on mathematical morphology are developed and tested for frontal face authentication… Expand
  • figure 1
Highly Cited
1997
Highly Cited
1997
Face detection is a key problem in building automated systems that perform face recognition. A very attractive approach for face… Expand
  • figure 2
  • figure 3
  • table I
  • figure 4
1997
1997
A novel dynamic link architecture based on multiscale morphological dilation-erosion is proposed for face verification in a… Expand
  • table 1
  • figure 1
  • figure 2
Highly Cited
1996
Highly Cited
1996
We present a neural system for the recognition of objects from realistic images, together with results of tests of face… Expand
  • figure 1
  • figure 2
  • table 1
  • table 2
  • figure 3
1996
1996
Keywords: LTS1 Reference LTS-CONF-1996-005 Record created on 2006-06-14, modified on 2016-08-08 
1996
1996
We propose multi-modal person veri cation using voice and images as a solution to the secured access problem. The necessary i/o… Expand
Highly Cited
1994
Highly Cited
1994
When recognizing patterns or objects, our visual system can easily separate what kind of pattern is seen and where (location and… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5