Bonmassar, Giorgio; Schwartz, Eric L.(Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1998-02)
Template matching via cross-correlation on Laplacian pyramid image architectures has been traditionally performed in a "coarse" to "fine" fashion. In the present paper, we show that by computing cross-correlation within ...
Bonmassar, Giorgio; Schwartz, Eric L.(Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1998-02)
Foveated, log-polar, or space-variant image architectures provide a high resolution and wide field workspace, while providing a small pixel computation load. These characteristics are ideal for mobile robotic and active ...
Bonmassar, Giorgio; Schwartz, Eric L.(Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1995-12-22)
Space-variant sensing is the architectural basis of all higher vertebrate visual systems (Schwartz, 1994). One evident motivation for this is that the space-complexity of the human visual system is reduced by up to four ...
