Front-End Vision and Multi-Scale Image Analysis
By B. T. H. Romeny. Computational Imaging and Vision, 2003
464 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Media Technology
View Paper: https://www.semanticscholar.org/paper/c81664aec2276e7420c2dd27c89974c6339feba5
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Vision and Pattern Recognition
- Pablo Fernández Alcantarilla
- Dilip K. Prasad
- Deepu Rajan
- James Stephen Marron
- Lily Rachmawati
- Adrien Bartoli
- Eshan Rajabally
- Andrew J. Davison
In Media Technology
- Dilip K. Prasad
- Deepu Rajan
- James Stephen Marron
- Lily Rachmawati
- Pablo Fernández Alcantarilla
- Eshan Rajabally
- Andrew J. Davison
- Jan Hannig
Citations in the corpus
- Video Processing From Electro-Optical Sensors for Object Detection and Tracking in a Maritime Environment: A Survey (2016, methodology): “A more robust version of this approach employed multi-scale approach [58].”
- Advanced Distribution Theory for SiZer (2006, background): “(See Lindeberg 1994 and ter Haar Romeny 2001 for access to the scale-space literature.)”
- KAZE Features (2012, background): “In general, nonlinear diffusion approaches perform much better than linear ones [9,10] and impressive results have been obtained in different applications such as image segmentation [11] or denoising [12].”
- Retinal Imaging and Image Analysis (2010, unknown): “The n-dimensional multifeature vectors are calculated for each pixel, frequently utilizing local convolutions with multiple Gaussian derivative, Gabor, or other wavelet kernels [78].”