Color Image Segmentation Based on Mean Shift and Normalized Cuts
By Wenbing Tao, Hai Jin, Yimin Zhang. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), 2007
425 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition, Media Technology
View Paper: https://www.semanticscholar.org/paper/ea7eb9b0bcc4bd4779b29672a3be4b4d9c1dfdbf
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
- Hiroaki Sasaki
- Aapo Hyvärinen
- Giovanna Menardi
- Masashi Sugiyama
- Yoshua Bengio
- Luc Van Gool
- Dacheng Tao
- Trevor Darrell
In Media Technology
- Aapo Hyvärinen
- Hiroaki Sasaki
- Giovanna Menardi
- Masashi Sugiyama
- Roland Memisevic
- Karl Ridgeway
- Fabian J Theis
- Harri Valpola
Citations in the corpus
- A Review on Modal Clustering (2016, background): “…© 2015 International Statistical Institute. is computationally competitive with standard methods, and its application to a number of real and complex domains has shown interesting results (see, among others, Jang, 2006, Tao et al., 2007, De Bin and Risso, 2011, Contreras-Reyes and Azzalini, 2012).”
- Clustering via Mode Seeking by Direct Estimation of the Gradient of a Log-Density (2014, methodology): “Thanks to this extremely useful property, the mean shift has been successfully employed in various applications such as image segmentation [8,24,26] and object tracking [7,9].”