This paper introduces an architecture of a switched-capacitor network for Gaussian pyramid generation. Gaussian pyramids are used in modern scale- and rotation-invariant feature detectors or in visual attention. Our switched-capacitor architecture is conceived within the framework of a CMOS-3D-based vision system. As such, it is also used during the acquisition phase to perform analog storage and Correlated Double Sampling (CDS). The paper addresses mismatch, and switching errors like feedthrough and charge injection. The paper also gives an estimate of the area occupied by each pixel on the 130nm CMOS-3D technology by Tezzaron. The validity of our proposal is assessed through object detection in a scale- and rotation-invariant feature detector.

This work has been funded by Xunta de Galicia (Spain) and MICINN (Spain) through projects 10PXIB206037PR and TEC2009-12686, and by ONR through Project N000141110312.

Comunicación presentada al "ISCAS 2012" celebrado en Seúl (Corea del Sur) del 20 al 23 de Mayo del 2012.

Peer Reviewed