Data level fusion using common symmetry set

Tari S.

Conference on Sensor Fusion - Architectures, Algorithms, and Applications III, Florida, United States Of America, 7 - 09 April 1999, vol.3719, pp.327-331, (Full Text) identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 3719
  • Doi Number: 10.1117/12.341354
  • City: Florida
  • Country: United States Of America
  • Page Numbers: pp.327-331
  • Middle East Technical University Affiliated: No

Abstract

Availability of different imaging modalities requires techniques to process and combine information from different images of the same phenomena. We present a symmetry based approach for combining information from multiple images. Fusion is performed at data level. Actual object boundaries and shape descriptors are recovered directly from raw sensor output(s). Method is applicable to arbitrary number of images in arbitrary dimension.