A Detailed Review of Feature Extraction in Image Processing Systems
By G. Kumar, P. Bhatia. 2014 Fourth International Conference on Advanced Computing & Communication Technologies, 2014
456 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/cfb2be89c40a29d37210614afffa6cdd3a2e4ea3
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In Computer Vision and Pattern Recognition
- Keiller Nogueira
- Otávio Augusto Bizetto Penatti
- J. A. D. Santos
- Zaid Bin Omar
- Mohamed Hisham Jaward
- M. Cheok
- Jamie Sherrah
- Liangpei Zhang
Citations in the corpus
- A review of hand gesture and sign language recognition techniques (2017, methodology): “Feature extraction is the transformation of interesting parts of input data into sets of compact feature vector [83].”
- Towards better exploiting convolutional neural networks for remote sensing scene classification (2016, background): “Since manual extraction of these features is not practical in most cases, during years, substantial efforts have been dedicated to develop automatic and discriminating visual feature descriptors [1].”