BMV: Behavioral Model of Active Visual Perception and Invariant Recognition ============================================================= Authors: Ilya A. Rybak; Valentina I. Gusakova, Alexander V. Golovan, and Natalia A. Shevtsova BMV was developed in the Laboratory for Neural Network Modeling in Vision Research, A. B. Kogan Research Institute for Neurocybernetics at Rostov State University (Rostov-on-Don, Russia) in 1991. This DEMO demonstrates the ability of the model to recognize complex gray-level images (e.g. faces) invariantly with respect to 2D transformations (shift, rotation, scale). DEMO was written in DOS and does not require WINDOWS. To see DEMO you have to put all files (bmv.exe, i1.dat - i6.dat) into the same directory and run bmv.exe file. DEMO consists of three modes (regimes). I. In the mode of "Image Memorizing", the test images appear on the screen and are memorized. Each image is memorized by sequential picking points of interest by shifting an "attention window". The individual scanpath of viewing for the processed image is formed during this regime (Note that at each fixation the part of image with the center at the fixation point is processed with resolution decreased with the distance from the fixation point). PRESS ANY KEY TO CHANGE THE IMAGE 2. In the next mode you can SELECT AND TRANSFORM the image which you wish to present for recognition. TO SELECT A REQUIRED OPTION USE ARROWS AND PRESS "Enter" To select or change the recognized image use "CHANGE". Use "SCALE", "ROTATE", "TRANSLATE", and "NOISE" in order to apply the corresponding image transformations and/or noise. ATTENTION! PLEASE, APPLAY THE "SCALE" TRANSFORMATION FIRST. IN "TRANSLATE" MODE USE ARROWS TO SHIFT THE IMAGE and then use "Escape" TO EXIT THE "TRANSLATE" MODE. 3. Recognition mode USE "RECOGNIZE" OPTION TO PRESENT THE SELECTED, TRANSFORMED IMAGE TO THE MODEL FOR RECOGNITION. The result of recognition appears at the top. QUESTIONS, SUGGESTIONS, COMMENTS? Contact Ilya Rybak (rybaki@eplrx7.es.duPont.com) or Alexander Golovan, Valentina Gusakova, Natalia Shevtsova (w516@krinc.rnd.runnet.com) ENJOY! 25/3/1996