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Visual Sensors for Focal Plane Computation of Image Features


Pesavento, Alberto (2002) Visual Sensors for Focal Plane Computation of Image Features. Dissertation (Ph.D.), California Institute of Technology.


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.

Item Type:Thesis (Dissertation (Ph.D.))
Subject Keywords:Electrical Engineering and Business, Economics and Management
Degree Grantor:California Institute of Technology
Division:Engineering and Applied Science
Major Option:Electrical Engineering
Minor Option:Business Economics and Management
Thesis Availability:Public (worldwide access)
Research Advisor(s):
  • Koch, Christof
Thesis Committee:
  • Koch, Christof (chair)
  • Perona, Pietro
  • Psaltis, Demetri
  • Tai, Yu-Chong
  • Diorio, Christopher J.
Defense Date:17 May 2002
Record Number:CaltechTHESIS:03022011-094512699
Persistent URL:
Default Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:6262
Deposited By: John Wade
Deposited On:03 Mar 2011 21:18
Last Modified:11 Feb 2017 00:52

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