3D shape reconstruction using volume intersection techniques

被引：10

作者：

Carr, JC ^{[1
]}

Fright, WR ^{[1
]}

Geel, AH ^{[1
]}

Prager, RW ^{[1
]}

Dalton, KJ ^{[1
]}

机构：

[1] Univ Cambridge, Dept Engn, Cambridge CB2 1PZ, England

来源：

SIXTH INTERNATIONAL CONFERENCE ON COMPUTER VISION | 1998年

关键词：

D O I：

10.1109/ICCV.1998.710853

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Volume intersection algorithms are used to reconstruct incomplete objects from their silhouettes. An imagined light source is moved about the data and the cumulative amount of 'light' seen at each point in space is interpreted as indicating the likelihood that the point is inside the object. The object data need not be uniformly distributed nor exclusively surface data. Explicit distinction between noise, surface and interior data. is avoided. The novel concept of a localised viewing region is introduced to overcome the inherent inability of volume intersection algorithms to reconstruct concave surfaces. Algorithms for 2D pixel and 3D voxel data are described and applied to SD ultrasound data.

引用

页码：1095 / 1100

页数：6