• Publications
  • Influence
Pattern classification and scene analysis
  • R. Duda, P. Hart
  • Computer Science
    A Wiley-Interscience publication
  • 1 September 1974
TLDR
The topics treated include Bayesian decision theory, supervised and unsupervised learning, nonparametric techniques, discriminant analysis, clustering, preprosessing of pictorial data, spatial filtering, shape description techniques, perspective transformations, projective invariants, linguistic procedures, and artificial intelligence techniques for scene analysis.
Use of the Hough transformation to detect lines and curves in pictures
TLDR
It is pointed out that the use of angle-radius rather than slope-intercept parameters simplifies the computation further, and how the method can be used for more general curve fitting.
The CIPIC HRTF database
TLDR
A public-domain database of high-spatial-resolution head-related transfer functions measured at the UC Davis CIPIC Interface Laboratory and the methods used to collect the data are described.
A structural model for binaural sound synthesis
TLDR
A structural model is presented for synthesizing binaural sound from a monaural source based on a simplified time-domain description of the physics of wave propagation and diffraction that permits efficient implementation in DSP hardware, and thus facilitates real-time operation.
Range dependence of the response of a spherical head model
The head-related transfer function (HRTF) varies with range as well as with azimuth and elevation. To better understand its close-range behavior, a theoretical and experimental investigation of the
Uniqueness of the Gaussian Kernel for Scale-Space Filtering
TLDR
It is shown that the Gaussian probability density function is the only kernel in a broad class for which first-order maxima and minima, respectively, increase and decrease when the bandwidth of the filter is increased.
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