Computer Science – Neural and Evolutionary Computing
Scientific paper
2008-04-29
Neural Information Processing - Letters and Reviews 11, 12 (2007) 247-255
Computer Science
Neural and Evolutionary Computing
nombre de pages: 9
Scientific paper
Recently, a new method for encoding data sets in the form of "Density Codes" was proposed in the literature (Courrieu, 2006). This method allows to compare sets of points belonging to every multidimensional space, and to build shape spaces invariant to a wide variety of affine and non-affine transformations. However, this general method does not take advantage of the special properties of image data, resulting in a quite slow encoding process that makes this tool practically unusable for processing large image databases with conventional computers. This paper proposes a very simple variant of the density code method that directly works on the image function, which is thousands times faster than the original Parzen window based method, without loss of its useful properties.
No associations
LandOfFree
Fast Density Codes for Image Data does not yet have a rating. At this time, there are no reviews or comments for this scientific paper.
If you have personal experience with Fast Density Codes for Image Data, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Fast Density Codes for Image Data will most certainly appreciate the feedback.
Profile ID: LFWR-SCP-O-210045