CLOSED-FORM SOLUTIONS FOR PHYSICALLY BASED SHAPE MODELING AND RECOGNITION

被引：247

作者：

PENTLAND, A

SCLAROFF, S

机构：

[1] Vision and Modeline Group, The Media Laboratory, Massachusetts Institute of Technology, Cambridge

来源：

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | 1991年 / 13卷 / 07期

关键词：

DEFORMABLE MODELS; FINITE ELEMENT METHOD; MODEL ANALYSIS; MODAL-BASED VISION; OBJECT RECOGNITION; PHYSICALLY BASED MODELING; SHAPE REPRESENTATION; 3-D SHAPE RECOVERY;

D O I：

10.1109/34.85660

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

We present a closed-form, physically based solution for recovering a 3-D solid model from collections of 3-D surface measurements. Given a sufficient number of independent measurements, the solution is overconstrained and unique except for rotational symmetries. We then present a physically based object-recognition method that allows simple, closed-form comparisons of recovered 3-D solid models. The performance of these methods is evaluated using both synthetic range data with various signal-to-noise ratios and using laser rangefinder data.

引用

页码：715 / 729

页数：15

共 19 条

[1]

Bathe KJ., 2006, FINITE ELEMENT PROCE

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