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A compact system for self-motion est...

Mitros, Ania.

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A compact system for self-motion estimation.

Record Type:	Language materials, printed : Monograph/item
Title/Author:	A compact system for self-motion estimation./
Author:	Mitros, Ania.
Description:	127 p.
Notes:	Adviser: Christof Koch.
Contained By:	Dissertation Abstracts International67-08B.
Subject:	Artificial Intelligence. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3231273
ISBN:	9780542853258

A compact system for self-motion estimation.
Mitros, Ania.

A compact system for self-motion estimation. - 127 p.

Adviser: Christof Koch.

Thesis (Ph.D.)--California Institute of Technology, 2006.

Self-motion estimation is a vital problem for autonomous robots, frequently and appropriately addressed by vision algorithms. Most approaches involve repeating some local calculation over the entire imaging array, such as detection of locally salient features. A simple and local calculation can be efficiently implemented on the same chip as the photo-sensing array, thus parallelizing a huge computational task and vastly reducing the amount of data to transmit off chip. Mismatch between devices has previously been a stumbling block to producing truly useful arrays of local processing elements. Floating gate technology is used here as a compact means of programming away offsets in subcircuits to remedy this problem. A custom analog chip performs the above functions. For each pixel, the chip outputs sensed light intensity, the values of the vertical and horizontal intensity gradients, and a binary value indicating whether a feature is centered on that pixel. These values can be used as inputs to a motion estimation algorithm implemented on a standard computer.

ISBN: 9780542853258Subjects--Topical Terms:

769149
Artificial Intelligence.

A compact system for self-motion estimation.
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005 20110929
008 110929s2006 eng d
020 $a 9780542853258
035 $a (UnM)AAI3231273
035 $a AAI3231273
040 $a UnM $c UnM
100 1 $a Mitros, Ania. $3 1298419
245 1 2 $a A compact system for self-motion estimation.
300 $a 127 p.
500 $a Adviser: Christof Koch.
500 $a Source: Dissertation Abstracts International, Volume: 67-08, Section: B, page: 4607.
502 $a Thesis (Ph.D.)--California Institute of Technology, 2006.
520 $a Self-motion estimation is a vital problem for autonomous robots, frequently and appropriately addressed by vision algorithms. Most approaches involve repeating some local calculation over the entire imaging array, such as detection of locally salient features. A simple and local calculation can be efficiently implemented on the same chip as the photo-sensing array, thus parallelizing a huge computational task and vastly reducing the amount of data to transmit off chip. Mismatch between devices has previously been a stumbling block to producing truly useful arrays of local processing elements. Floating gate technology is used here as a compact means of programming away offsets in subcircuits to remedy this problem. A custom analog chip performs the above functions. For each pixel, the chip outputs sensed light intensity, the values of the vertical and horizontal intensity gradients, and a binary value indicating whether a feature is centered on that pixel. These values can be used as inputs to a motion estimation algorithm implemented on a standard computer.
590 $a School code: 0037.
650 4 $a Artificial Intelligence. $3 769149
650 4 $a Engineering, Electronics and Electrical. $3 626636
650 4 $a Engineering, Robotics. $3 1018454
690 $a 0544
690 $a 0771
690 $a 0800
710 2 0 $a California Institute of Technology. $3 726902
773 0 $t Dissertation Abstracts International $g 67-08B.
790 $a 0037
790 1 0 $a Koch, Christof, $e advisor
791 $a Ph.D.
792 $a 2006
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3231273