CSDL Home IEEE Transactions on Pattern Analysis & Machine Intelligence 1984 vol.6 Issue No.03 - March
Issue No.03 - March (1984 vol.6)
Joseph O'Rourke , Department of Electrical Engineering and Computer Science, The Johns Hopkins University, Baltimore, MD 21218.
Kenneth R. Sloan , Architecture Machine Group, Massachusetts Institute of Technology, Cambridge, MA 02139.
Two new data structures are defined for use in multidimensional histogramming. Their purpose is to cover a parameter space with a limited number of histogram bins so that fine precision is maintained where it is needed. The original motivation for these data structures was to implement Hough-like transforms in high-dimensional parameter spaces. The two data structures share the ability to adapt to distributions that change with time.
Joseph O'Rourke, Kenneth R. Sloan, "Dynamic Quantization: Two Adaptive Data Structures for Multidimensional Spaces", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.6, no. 3, pp. 266-280, March 1984, doi:10.1109/TPAMI.1984.4767519