Title :
Three-dimensional ultrasonic vision for robotic applications
Author :
Acampora, Anthony S. ; Winters, Jack H.
Author_Institution :
AT&T Bell Labs., Holmdel, NJ, USA
fDate :
3/1/1989 12:00:00 AM
Abstract :
Considers a vision system that uses the echo of a transmitted ultrasonic pulse as the basis for identifying objects. The return of a single pulse from an object generates a three-dimensional acoustical characteristic signature across the aperture of a receiving antenna which can be directly used for object identification. Thus, there is no need to reproduce an accurate visual representation to recognize which of a class of objects is present. Since the signal bandwidth is narrow relative to that of an optical imaging system, faster execution should be possible. The need to remove clutter which can arise in a conventional imaging system, caused by the compression of three dimensions into two, is totally avoided. The authors calculate a fundamental limit (in the Shannon sense) on the number of objects that can be distinguished by an ultrasonic system and show that, for modest signal-to-noise ratios and an object space comparable to the beamwidth, an enormous number of different objects can still, in principle, be resolved
Keywords :
acoustic imaging; pattern recognition; picture processing; ultrasonic applications; 3D object recognition; S/N ratio; US vision; acoustic imaging; characteristic signature; echo; object identification; pattern recognition; robot vision; Acoustic pulses; Aperture antennas; Bandwidth; Character generation; Machine vision; Optical imaging; Pulse generation; Receiving antennas; Robot vision systems; Ultrasonic imaging;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on