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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)
Published by Springer Nature Switzerland AG, Cham, 2022
ISBN 10: 3030961095 ISBN 13: 9783030961091
Language: English
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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Towards Optimal Point Cloud Processing for 3D Reconstruction
Published by Springer Nature Switzerland AG, 2022
ISBN 10: 3030961095 ISBN 13: 9783030961091
Language: English
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
Seller rating 5 out of 5 stars
PAP. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Towards Optimal Point Cloud Processing for 3D Reconstruction (SpringerBriefs in Signal Processing)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
Condition: New. In.
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Towards Optimal Point Cloud Processing for 3d Reconstruction
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: New.
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Towards Optimal Point Cloud Processing for 3d Reconstruction
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
Condition: As New. Unread book in perfect condition.
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Condition: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
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Towards Optimal Point Cloud Processing F
Seller: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Ireland
Seller rating 5 out of 5 stars
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Condition: New.
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Towards Optimal Point Cloud Processing for 3D Reconstruction (Paperback)
Published by Springer Nature Switzerland AG, Cham, 2022
ISBN 10: 3030961095 ISBN 13: 9783030961091
Language: English
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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Paperback. Condition: Brand New. 106 pages. 9.25x6.10x0.22 inches. In Stock. This item is printed on demand.
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Condition: New. Print on Demand.
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Condition: New. PRINT ON DEMAND.
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Towards Optimal Point Cloud Processing for 3D Reconstruction
Published by Springer, Berlin|Springer International Publishing|Springer, 2022
ISBN 10: 3030961095 ISBN 13: 9783030961091
Language: English
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.
