On Mar 10, 1:32 am, "Daniel Fetchinson" <[EMAIL PROTECTED]> wrote: > Hi all, > > There are a number of free tools for image matching but it's not very > easy to decipher the actual algorithm from the code that includes db > management, GUI, etc, etc. I have my own image database and GUI so all > I need is the actual algorithm preferably in pseudo code and not in > the form of a research paper (from which I also found a lot but since > I'm not that much interested in the actual science of image > recognition this seems like an over kill). > > My understanding of image matching is that it works by first > calculating N real numbers for an image and defining a metric for > pairs of N-tuples. Images are similar if their distance (defined by > the metric) is small. > > The various free tools differ by their chosen optimization paths and > their degree of specialization. My preference would be, > > 1. Doesn't really matter how long it takes to compute the N numbers per image > 2. Lookups should be fast, consequently N should not be too large (I guess) > 3. It should be a generic algorithm working on generic images (everyday > photos) > 4. PIL should be enough for the implementation
http://www.idi.ntnu.no/~blake/gbimpdet.htm "High level features carry information about an image in an abstracted or propositional form" It says it constructs a graph about the image's features. Here's the graph: Graph components Notes [EMAIL PROTECTED];ext:sqr:aa(1659):mm(19815,148,0,0): <- Leading node cg(62,86):cr(255,153,153):pl(-204,574,792,10353)]] with attributes [EMAIL PROTECTED] 1 ]] <- Relation and strength [EMAIL PROTECTED];ext:sqr:aa(199):mm(17759,244,1,0): <- Trailing node cg(98,77):cr(153,153,255):pl(966,2,258,-79198)]]$ with attributes It doesn't say what corner cases it leaves. "seem to provide" and "seems to be extremely flexible". I like this feature: - the equation of the best fitting plane Ax+By+Cz+D=0 to the range image data masked by the current region; Where does that get you? -- http://mail.python.org/mailman/listinfo/python-list
