Image-based aircraft pose estimation using moment invariants

Image-based aircraft pose estimation using moment invariants

TNO Fysisch en Elektronisch Laboratorium
Breuers, M.

Sadjadi, F.A. (editor)

1999

The problem of estimating aircraft pose information from mono-ocular image data is considered using two different pose estimation algorithms. Both algorithms are based on the rotation invariant moment approach that was introduced by Dudani. The dependence of pose estimation accuracy on image resolution and aspect angle was investigated through simulations using sets of synthetic aircraft images. It is shown that increased pose-estimation accuracy can be obtained by breaking the nearest neighbour search procedure in two parts.

Algorithms
Computer simulation
Computer vision
Feature extraction
Image analysis
Image quality
Method of moments
Image-based aircraft pose estimations
Moment invariants
Object recognition

http://resolver.tudelft.nl/uuid:0405e783-4174-45a7-95e0-3f9cd39623d9

https://doi.org/10.1117/12.359963

95239

SPIE, Bellingham, WA.

Proceedings SPIE - Automatic Target Recognition IX, 7-9 April 1999, Orlando, FL, 294-304

Proceedings of SPIE

conference paper