Computational Methods for Flow Problems - Parallel Algorithms, Flow Control, and Novel Approaches.

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Bibliographic Details
Title: Computational Methods for Flow Problems - Parallel Algorithms, Flow Control, and Novel Approaches.
Authors: Gaudiot, Von Der Malsburg, Christoph
Contributors: CALIFORNIA UNIV LOS ANGELES DEPT OF COMPUTER SCIENCE
Source: DTIC AND NTIS
Publication Year: 1992
Collection: Defense Technical Information Center: DTIC Technical Reports database
Subject Terms: Computer Programming and Software, Fluid Mechanics, COMPUTER ARCHITECTURE, COMPUTATIONAL FLUID DYNAMICS, ALGORITHMS, INPUT, NEURAL NETS, MICROPROCESSORS, CHIPS(ELECTRONICS), PARALLEL PROCESSING, OPTICAL IMAGES, FLOW VISUALIZATION, WORK STATIONS, PATTERN RECOGNITION, SUPERCOMPUTERS, NUMERICAL METHODS AND PROCEDURES, INVARIANCE, PE61102F, WUAFOSR2305BS, TRANSPUTERS
Description: We have created an object recognition system, in the context of the general goal of contributing to the development of a visual architecture. The system makes use of wavelet transforms, of dynamic link matching, and is of general neural style. We have implemented the system in several versions, as an object-oriented modular program on a workstation, and as a parallel farm structure on an array of transputers. Object recognition from camera images is invariant to translation, scaling and rotation in the image plane, and is robust with respect to lighting and to rotation in depth. We have tested the system on the task of recognizing human faces. With galleries of about 90 faces, the system achieved highly confident recognition on ca. 85% of the input images.
Document Type: text
File Description: text/html
Language: English
Relation: http://www.dtic.mil/docs/citations/ADA295126
Availability: http://www.dtic.mil/docs/citations/ADA295126
http://oai.dtic.mil/oai/oai?&verb=getRecord&metadataPrefix=html&identifier=ADA295126
Rights: APPROVED FOR PUBLIC RELEASE
Accession Number: edsbas.453C2D9B
Database: BASE
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