Kniha Textured 3D Models Hatem Ibrahim Mahmoud Rashwan

Textured 3D Models

Automatic Reconstruction of 3D Models from a Sequance of Calibrated Images

Jazyk: Angličtina
Väzba: Brožovaná
Dostupnosť: Skladom u dodávateľa
Odosielame za 8-11 dní
50.95
A vision based 3D scene analysis system is described that is capable to model complex real world sce...

Informácie o knihe

Jazyk
Angličtina
Väzba
Kniha - Brožovaná
Vydalo
2011
Stránok
132
EAN
9783846545676
Enbook ID
06969665
Hmotnosť
215
Rozmery
150 x 220 x 8

Kompletný popis

A vision based 3D scene analysis system is described that is capable to model complex real world scenes like old building, bridges and vestiges automatically from a sequence of calibrated images. Input to the system is a sequence of calibrated stereoscopic images which can be taken with a hand held camera. The camera is then moved throughout the scene and a long sequence of closely spaced views is recorded. A multi-view algorithm is used to link the corresponding points along a sequence of images. 3D model is reconstructed using triangulation directly from the image sequence, which allows fusing 3D surface measurements from different viewpoints into a consistent 3D model scene using a Kalman filter. The surface geometry of each scene object is approximated by a triangular surface mesh which stores the surface texture in a texture map. From the textured 3D models, realistic looking image sequences from arbitrary view points can be used in many applications. We demonstrate the successful application of the approach to several outdoor image sequences for some famous Egyptian vestiges in a framework that aims to electronically document Egypt s cultural and natural heritage.

Mohlo by vás zaujímať

Jacksonian Epoch

Charles Henry Peck
27.63

Nanomagnetism

Georgia C. Papaefthymiou
131.21

Before There Was

Rudy Rodriguez
33.60

Remember Cynthia Rose

Jeanne Sinclair-Krause
10.97
30.86

Flora Stone Mather

Gladys Haddad
29.29

Zákazníci, ktorí si kúpili túto knihu, kúpili tiež

Atención a la diversidad

María Rosa Alcúdia Casellas
20.77
25.86