Now showing items 1-3 of 3

    • Image quality assessment using two-dimensional complex mel-cepstrum 

      Cakir, S.; Çetin, A. Enis (SPIE, 2016)
      Assessment of visual quality plays a crucial role in modeling, implementation, and optimization of image-and video-processing applications. The image quality assessment (IQA) techniques basically extract features from the ...
    • Mel-and Mellin-cepstral feature extraction algorithms for face recognition 

      Cakir, S.; Çetin, A. Enis (Oxford University Press, 2011-01-17)
      In this article, an image feature extraction method based on two-dimensional (2D) Mellin cepstrum is introduced. The concept of one-dimensional (1D) mel-cepstrum that is widely used in speech recognition is extended to ...
    • Salient point region covariance descriptor for target tracking 

      Cakir, S.; Aytac, T.; Yildirim, A.; Behesti, S.; Gerek, O. N.; Çetin, A. Enis (SPIE, 2013-02-22)
      Features extracted at salient points are used to construct a region covariance descriptor (RCD) for target tracking. In the classical approach, the RCD is computed by using the features at each pixel location, which ...