Name: Robust Methods for Dense Monocular Non-Rigid 3D Reconstruction and Alignment of Point Clouds (en Inglés)
SKU: 56776011
Price: 108820.00 CLP
Availability: InStock
Author: Golyanik, Vladislav
ISBN: 9783658305666

portada Robust Methods for Dense Monocular Non-Rigid 3D Reconstruction and Alignment of Point Clouds (en Inglés)

Robust Methods for Dense Monocular Non-Rigid 3D Reconstruction and Alignment of Point Clouds (en Inglés)

Formato

Libro Físico

Autor

Vladislav Golyanik

Editorial

Springer Vieweg

Idioma

Inglés

N° páginas

352

Encuadernación

Tapa Blanda

Dimensiones

21x14.8x2 cm

Peso

0.45 kg.

ISBN13

9783658305666

Categorías

Mundos virtuales
Aplicaciones gráficas y multimedia
Reconocimiento de formas
Visión por ordenador
Realidad virtual
Realidad aumentada

Robust Methods for Dense Monocular Non-Rigid 3D Reconstruction and Alignment of Point Clouds (en Inglés)

Vladislav Golyanik (Autor) · Springer Vieweg · Tapa Blanda

Libro Nuevo Importado

Envío: 13 a 18 días háb.

$ 181.370$ 108.820

-40%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan más de 100 unidades

$ 108.820

Llega entre el 07 Oct y el 15 Oct a Santiago, Región Metropolitana. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Robust Methods for Dense Monocular Non-Rigid 3D Reconstruction and Alignment of Point Clouds (en Inglés)"

Vladislav Golyanik proposes several new methods for dense non-rigid structure from motion (NRSfM) as well as alignment of point clouds. The introduced methods improve the state of the art in various aspects, i.e. in the ability to handle inaccurate point tracks and 3D data with contaminations. NRSfM with shape priors obtained on-the-fly from several unoccluded frames of the sequence and the new gravitational class of methods for point set alignment represent the primary contributions of this book.About the Author: Vladislav Golyanik is currently a postdoctoral researcher at the Max Planck Institute for Informatics in Saarbrücken, Germany. The current focus of his research lies on 3D reconstruction and analysis of general deformable scenes, 3D reconstruction of human body and matching problems on point sets and graphs. He is interested in machine learning (both supervised and unsupervised), physics-based methods as well as new hardware and sensors forcomputer vision and graphics (e.g., quantum computers and event cameras).