Visual Sensors for Focal Plane Computation of Image Features

Author: Pesavento, Alberto

Year: 2002

Degree: Dissertation (Ph.D.)

Advisor: Koch, Christof

Committee Members: Koch, Christof; Perona, Pietro; Psaltis, Demetri; Tai, Yu-Chong; Diorio, Christopher J.

Option: Electrical Engineering; Business Economics and Management

DOI: 10.7907/BS04-5817

Abstract

Feature detection and tracking is a fundamental problem in computer vision research. By detecting and tracking features in an image sequence it is possible to recover information about both the motion of the viewer and the structure of the environment. The selection of features is a computationally intensive task. We derived two low-complexity algorithms that are suitable for integration in a CMOS sensor with focal-plane processing. We review the two algorithms and the circuits that implement them. We present results from accurate simulations and experimental results from the testing of these CMOS sensors.

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