Title :
VLSI-implementable scheme for invariant object recognition
Author :
Rao, Arun ; Akers, LA
Author_Institution :
Center for Solid State Electron. Res., Arizona State Univ., Tempe, AZ, USA
Abstract :
The authors describe the development of a VLSI smart sensor which borrows some mechanisms used by the human eye to generate abstractions of simple line drawings which are invariant with respect to scale and position. It is demonstrated by simulation that a corner-based abstraction method is suitable for generating signatures invariant with respect to scale and position. It is shown that such a sensor (1) is capable of real-time performance, (2) yields a considerably higher resolution than conventional schemes, and (3) is similar in some important respects to the human visual system. Two implementation schemes are described, and it is shown that they are capable of real-time performance. Limitations of the technique are mentioned, as is the simple extension of the method to gray-scale images
Keywords :
VLSI; computer architecture; computerised pattern recognition; real-time systems; VLSI-implementable scheme; corner-based abstraction; gray-scale images; implementation schemes; invariant object recognition; line drawings; real-time performance; resolution; signatures; smart sensor; Humans; Intelligent sensors; Object recognition; Optical sensors; Photoreceptors; Retina; Sensor systems; Solid state circuits; Very large scale integration; Visual system;
Conference_Titel :
Computers and Communications, 1991. Conference Proceedings., Tenth Annual International Phoenix Conference on
Conference_Location :
Scottsdale, AZ
Print_ISBN :
0-8186-2133-8
DOI :
10.1109/PCCC.1991.113786