Name: Towards Optimal Point Cloud Processing for 3D Reconstruction (en Inglés)
Price: 293.09 PEN
Availability: InStock
Author: Zhang, Guoxiang ; Chen, Yangquan
ISBN: 9783030961091

portada Towards Optimal Point Cloud Processing for 3D Reconstruction (en Inglés)

Formato

Libro Físico

Autor

Guoxiang Zhang

Yangquan Chen

Editorial

Springer

Idioma

Inglés

N° páginas

Encuadernación

Tapa Blanda

Dimensiones

23.4 x 15.6 x 0.6 cm

Peso

0.16 kg.

ISBN13

9783030961091

Categorías

Robótica
Inteligencia artificial

Towards Optimal Point Cloud Processing for 3D Reconstruction (en Inglés)

Guoxiang Zhang (Autor) · Yangquan Chen (Autor) · Springer · Tapa Blanda

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S/ 293,09

S/ 586,18

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Reseña del libro "Towards Optimal Point Cloud Processing for 3D Reconstruction (en Inglés)"

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.