Automatic Matching of Infrared Image Sequences Based on Rotation Invariant.
Jing-zheng LiuXu-chu YuLing-qing GongWen-shuai YuPublished in: ESIAT (2) (2009)
Keyphrases
- rotation invariant
- dominant orientation
- rotation invariance
- scale and rotation invariant
- shape context
- texture analysis
- infrared image sequences
- texture classification
- zernike moments
- scale invariance
- texture image retrieval
- matching algorithm
- invariant descriptors
- feature vectors
- infrared
- steerable pyramid
- local binary pattern
- texture features
- gabor filters
- thinning algorithm
- graph matching
- maximum likelihood
- feature space
- multiscale