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Optimal Point Cloud Processing by Zhang Guoxiang (18 results)
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Towards Optimal Point Cloud Processing for 3D Reconstruction (Paperback)
Book 215 of 472: SpringerBriefs in Applied Sciences and TechnologyLanguage: English
Published by Springer Nature Switzerland AG, Cham, 2022
ISBN 10: 3030961095 ISBN 13: 9783030961091
First Edition
Paperback. Condition: new. Paperback. This SpringerBrief presents novel methods of approaching challenging problems in the reconstruction of accurate 3D models and serves as an introduction for further 3D reconstruction methods. It develops a 3D reconstruction system that produces accurate results by cascading multiple novel loop detection, sifting, and optimization methods.The authors offer a fast point cloud registration method that utilizes optimized randomness in random sample consensus for surface loop detection. The text also proposes two methods for surface-loop sifting. One is supported by a sparse-feature-based optimization graph. This graph is more robust to different scan patterns than earlier methods and can cope with tracking failure and recovery. The other is an offline algorithm that can sift loop detections based on their impact on loop optimization results and which is enabled by a dense map posterior metric for 3D reconstruction and mapping performance evaluation works without any costly ground-truth data.The methods presented in Towards Optimal Point Cloud Processing for 3D Reconstruction will be of assistance to researchers developing 3D modelling methods and to workers in the wide variety of fields that exploit such technology including metrology, geological animation and mass customization in smart manufacturing. This SpringerBrief presents novel methods of approaching challenging problems in the reconstruction of accurate 3D models and serves as an introduction for further 3D reconstruction methods. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Condition: As New. Unread book in perfect condition.
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Towards Optimal Point Cloud Processing for 3d Reconstruction
Book 215 of 472: SpringerBriefs in Applied Sciences and TechnologySeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
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Towards Optimal Point Cloud Processing for 3D Reconstruction (SpringerBriefs in Signal Processing)
Book 215 of 472: SpringerBriefs in Applied Sciences and TechnologySeller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
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Towards Optimal Point Cloud Processing for 3d Reconstruction
Book 215 of 472: SpringerBriefs in Applied Sciences and TechnologySeller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Towards Optimal Point Cloud Processing F
Book 215 of 472: SpringerBriefs in Applied Sciences and TechnologySeller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
Condition: New.
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Condition: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
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Towards Optimal Point Cloud Processing for 3D Reconstruction (Paperback)
Book 215 of 472: SpringerBriefs in Applied Sciences and TechnologyLanguage: English
Published by Springer Nature Switzerland AG, Cham, 2022
ISBN 10: 3030961095 ISBN 13: 9783030961091
First Edition
Paperback. Condition: new. Paperback. This SpringerBrief presents novel methods of approaching challenging problems in the reconstruction of accurate 3D models and serves as an introduction for further 3D reconstruction methods. It develops a 3D reconstruction system that produces accurate results by cascading multiple novel loop detection, sifting, and optimization methods.The authors offer a fast point cloud registration method that utilizes optimized randomness in random sample consensus for surface loop detection. The text also proposes two methods for surface-loop sifting. One is supported by a sparse-feature-based optimization graph. This graph is more robust to different scan patterns than earlier methods and can cope with tracking failure and recovery. The other is an offline algorithm that can sift loop detections based on their impact on loop optimization results and which is enabled by a dense map posterior metric for 3D reconstruction and mapping performance evaluation works without any costly ground-truth data.The methods presented in Towards Optimal Point Cloud Processing for 3D Reconstruction will be of assistance to researchers developing 3D modelling methods and to workers in the wide variety of fields that exploit such technology including metrology, geological animation and mass customization in smart manufacturing. This SpringerBrief presents novel methods of approaching challenging problems in the reconstruction of accurate 3D models and serves as an introduction for further 3D reconstruction methods. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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Taschenbuch. Condition: Neu. Towards Optimal Point Cloud Processing for 3D Reconstruction | Guoxiang Zhang (u. a.) | Taschenbuch | SpringerBriefs in Electrical and Computer Engineering | xix | Englisch | 2022 | Springer | EAN 9783030961091 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Paperback. Condition: Brand New. 106 pages. 9.25x6.10x0.22 inches. In Stock. This item is printed on demand.
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Towards Optimal Point Cloud Processing for 3D Reconstruction
Book 215 of 472: SpringerBriefs in Applied Sciences and TechnologyLanguage: English
Published by Springer, Berlin|Springer International Publishing|Springer, 2022
ISBN 10: 3030961095 ISBN 13: 9783030961091
Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This SpringerBrief presents novel methods of approaching challenging problems in the reconstruction of accurate 3D models and serves as an introduction for further 3D reconstruction methods. It develops a 3D reconstruction system that produces accurate r.
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Towards Optimal Point Cloud Processing for 3D Reconstruction
Book 215 of 472: SpringerBriefs in Applied Sciences and TechnologyLanguage: English
Published by Springer, Springer Jun 2022, 2022
ISBN 10: 3030961095 ISBN 13: 9783030961091
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This SpringerBrief presents novel methods of approaching challenging problems in the reconstruction of accurate 3D models and serves as an introduction for further 3D reconstruction methods. It develops a 3D reconstruction system that produces accurate results by cascading multiple novel loop detection, sifting, and optimization methods.The authors offer a fast point cloud registration method that utilizes optimized randomness in random sample consensus for surface loop detection. The text also proposes two methods for surface-loop sifting. One is supported by a sparse-feature-based optimization graph. This graph is more robust to different scan patterns than earlier methods and can cope with tracking failure and recovery. The other is an offline algorithm that can sift loop detections based on their impact on loop optimization results and which is enabled by a dense map posterior metric for 3D reconstruction and mapping performance evaluation works without any costly ground-truth data.The methods presented in Towards Optimal Point Cloud Processing for 3D Reconstruction will be of assistance to researchers developing 3D modelling methods and to workers in the wide variety of fields that exploit such technology including metrology, geological animation and mass customization in smart manufacturing.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 108 pp. Englisch.
