Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
A novel clique formulation for the visual feature matching problem
Year:2015
Research Areas
  • Information technology and adata processing,
  • Electric engineers, electronic and automatic (eil)
Information
Abstract
deterministic algorithm for the visual feature matching problem when images have low distortion. CCMM is multi-hypothesis, i.e. for each feature to be matched in the original image it builds an association graph which captures pairwise compatibility with a subset of candidate features in the target image. It then solves optimum joint compatibility by searching for a maximum clique. CCMM is shown to be more robust than traditional RANSAC-based single-hypothesis approaches. Moreover the order of the graph grows linearly with the number of hypothesis, which keeps computational requirements bounded for real life applications such as UAV image mosaicing or digital terrain model extraction. The paper also includes extensive empirical validation.
International
Si
JCR
Si
Title
Applied Intelligence
ISBN
0924-669X
Impact factor JCR
1,853
Impact info
Q2, Datos JCR del año 2012
Volume
43
10.1007/s10489-015-0646-1
Journal number
2
From page
167
To page
178
Month
SIN MES
Ranking
Area: COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE (34/115) datos de 2012
Participants
  • Autor: Pablo San Segundo Carrillo (UPM)
  • Autor: Jorge Artieda Trigueros (UPM)
Research Group, Departaments and Institutes related
  • Creador: Departamento: Ingeniería Eléctrica, Electrónica Automática y Física Aplicada
S2i 2019 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)