A novel study on developing a model-driven visual dictionary
Bildiriler > Tam Metin Bildiri
Yazarlar: Sinem Aslan, Ceyhun Burak Akgül, Bülent Sankur, E. Turhan Tunalı
2016 24th Signal Processing and Communication Application Conference (SIU), , , Uluslararası, Tam Metin Bildiri, ss 2081-2084
Özet
We designed SymPaD framework, a model-driven visual dictionary construction and description method, with new shape models and quantized shape library. We demonstrate that, with this new design, the most current model-driven dictionary construction method is outperformed with even smaller dictionary in object recognition and image retrieval tasks.