2001 Conference on Advanced Research in VLSI (ARVLSI'01) Methods and Circuits for Focal-Plane Computation of Features in CMOS Visual Sensors Salt Lake City, Utah March 14-March 16 ISBN: 0-7695-1038-8
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 derive 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 presents results from accurate simulations and experimental results from fabricated CMOS sensors.
Citation:
Alberto Pesavento, Christof Koch, "Methods and Circuits for Focal-Plane Computation of Features in CMOS Visual Sensors," arvlsi, pp.238, 2001 Conference on Advanced Research in VLSI (ARVLSI'01), 2001 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||