Which Is Which? Evaluation of Local Descriptors for Image Matching in Real-World Scenarios

Fabio Bellavia, Fabio Bellavia, Carlo Colombo

Risultato della ricerca: Conference contribution

2 Citazioni (Scopus)

Abstract

Matching with local image descriptors is a fundamental task in many computer vision applications. This paper describes the WISW contest held within the framework of the CAIP 2019 conference, aimed at benchmarking recent descriptors in challenging planar and non-planar real image matching scenarios. According to the contest results, the descriptors submitted to the competition, most of which based on deep learning, perform significantly better than the current state-of-the-art in image matching. Nonetheless, there is still room for improvement, especially in the case of non-planar scenes
Lingua originaleEnglish
Titolo della pubblicazione ospiteComputer Analysis of Images and Patterns
Pagine299-310
Numero di pagine12
Stato di pubblicazionePublished - 2019

Serie di pubblicazioni

NomeLECTURE NOTES IN COMPUTER SCIENCE

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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