Towards Optimal Point Cloud Processing for 3D Reconstruction
- Indbinding:
- Paperback
- Sideantal:
- 108
- Udgivet:
- 4. juni 2022
- Udgave:
- 22001
- Størrelse:
- 155x7x235 mm.
- Vægt:
- 178 g.
- 8-11 hverdage.
- 6. december 2024
På lager
Normalpris
Abonnementspris
- Rabat på køb af fysiske bøger
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
Beskrivelse af Towards Optimal Point Cloud Processing for 3D Reconstruction
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.
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.
Brugerbedømmelser af Towards Optimal Point Cloud Processing for 3D Reconstruction
Giv din bedømmelse
For at bedømme denne bog, skal du være logget ind.Andre købte også..
Find lignende bøger
Bogen Towards Optimal Point Cloud Processing for 3D Reconstruction findes i følgende kategorier:
- Business og læring > Computer og IT
- Business og læring > Videnskab
- Geofag, geografi og miljøvidenskab > Geovidenskab
- Teknologi, ingeniørvidenskab og landbrug > Maskinteknik og materialer > Produktionsteknik
- Teknologi, ingeniørvidenskab og landbrug > Elektronik og kommunikationsteknik > Elektronik teknik > Automatisk styringsteknik og reguleringsteknik > Robotteknik
- Databehandling og informationsteknologi > Informatik > Kunstig intelligens > Machine learning
- Databehandling og informationsteknologi > Informatik > Signalbehandling
© 2024 Pling BØGER Registered company number: DK43351621