Language: English
Published by Writer's Block Publishing Company, The, 2023
ISBN 10: 0978625358 ISBN 13: 9780978625351
Seller: Greenworld Books, Arlington, TX, U.S.A.
Condition: very_good. Fast Free Shipping â" Very Good condition book with a firm cover and clean pages. Shows normal use and some light wear or limited notes markings. A solid, nice copy to enjoy.
Language: English
Published by Writer's Block Publishing Company, The, 2023
ISBN 10: 0978625358 ISBN 13: 9780978625351
Seller: Revaluation Books, Exeter, United Kingdom
Paperback. Condition: Brand New. volume iii ed. edition. 240 pages. 9.00x6.00x0.55 inches. In Stock.
Language: English
Published by VDM Verlag Dr. Müller, 2009
ISBN 10: 3639137256 ISBN 13: 9783639137255
Seller: moluna, Greven, Germany
Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Allen B. DanetteDr. B. Danette Allen is a senior researcher at NASA LangleynResearch Center. She has extensive experience in the design andndevelopment of atmospheric science instruments and isninvestigating methods for modernizing t.
Language: English
Published by VDM Verlag Dr. Müller, 2009
ISBN 10: 3639137256 ISBN 13: 9783639137255
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This research introduces a stochastic framework forevaluating and comparing the expected performance ofsensing systems for interactive computer graphics.Incorporating models of the sensor devices andexpected user motion dynamics, this framework enablescomplementary system- and measurement-level hardwareinformation optimization, independent of algorithmand motion paths. The approach for system-leveloptimization is to estimate the asymptotic positionand/or orientation uncertainty at many pointsthroughout a desired working volume or surface, andto visualize the results graphically. This globalperformance estimation can provide both a quantitative assessment of the expected performanceand intuition about how to improve the type andarrangement of sources and sensors, in the context ofthe desired working volume and expected scenedynamics. Using the same model components requiredfor these system-level optimization, the optimalsensor sampling time can be determined with respectto the expected scene dynamics for measurement-leveloptimization.