Generation of perfect map codes for an active stereo imaging system

Author

Ozturk, Cengizhan ; Nissanov, Jonathan ; Dubin, Stephen VMD

Author_Institution

Imaging & Comput. Vision Center, Drexel Univ., Philadelphia, PA, USA

fYear

1996

fDate

14-15 Mar 1996

Firstpage

76

Lastpage

77

Abstract

In the past, structured light (SL) methods typically relied on global reference frames to index points on the illumination pattern. This has limited their use. We are using perfect maps (PM) codes which can be labeled using local clues alone. A difficulty with PM has been their construction. Previously, we have relied on pseudorandom search techniques to identify suitable candidates. Here we give methods for direct construction of these two dimensional arrays. Specifically, a method is given for the construction of a 3-ary (27,729; 3,3) Perfect Map. In order to achieve some error detection and correction, higher Hamming distance codes are needed. A simple search algorithm is also given for the generation of such maps

Keywords

Hamming codes; biomedical imaging; error correction codes; error detection codes; image sequences; medical image processing; stereo image processing; 3-ary; active stereo imaging system; direct construction; error correction; error detection; global reference frames; higher Hamming distance codes; illumination pattern; local clues; perfect map codes; pseudorandom search techniques; simple search algorithm; stereo vision; structured light methods; two dimensional arrays; Biomedical engineering; Biomedical imaging; Cameras; Computer vision; Error correction codes; Hamming distance; Image reconstruction; Layout; Lighting; Stereo vision;

fLanguage

English

Publisher

ieee

Conference_Titel

Bioengineering Conference, 1996., Proceedings of the 1996 IEEE Twenty-Second Annual Northeast

Conference_Location

New Brunswick, NJ

Print_ISBN

0-7803-3204-0

Type

conf

DOI

10.1109/NEBC.1996.503225

Filename

503225