Routray et al., 2017 - Google Patents
Analysis of various image feature extraction methods against noisy image: SIFT, SURF and HOGRoutray et al., 2017
- Document ID
- 16269133996603801908
- Author
- Routray S
- Ray A
- Mishra C
- Publication year
- Publication venue
- 2017 Second International Conference on Electrical, Computer and Communication Technologies (ICECCT)
External Links
Snippet
We present the performance of three popular image feature extraction methods such as Scale Invariant Feature Transformation (SIFT), Speeded-Up Robust Features (SURF) and Histogram of Oriented Gradient (HOG). Specifically, we compare the performance of feature …
- 238000000605 extraction 0 title abstract description 7
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- G06K9/6201—Matching; Proximity measures
- G06K9/6202—Comparing pixel values or logical combinations thereof, or feature values having positional relevance, e.g. template matching
- G06K9/6203—Shifting or otherwise transforming the patterns to accommodate for positional errors
- G06K9/6211—Matching configurations of points or features, e.g. constellation matching
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