A GENERALIZED DEPTH ESTIMATION ALGORITHM WITH A SINGLE IMAGE

被引：73

作者：

LAI, SH ^{[1
]}

FU, CW ^{[1
]}

CHANG, SY ^{[1
]}

机构：

[1] NATL TSING HUA UNIV,DEPT ELECT ENGN,HSINCHU 300,TAIWAN

来源：

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE | 1992年 / 14卷 / 04期

关键词：

COMPUTER VISION; DEPTH ESTIMATION; MEASUREMENT FROM DEFOCUS;

D O I：

10.1109/34.126803

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

A depth estimation algorithm proposed by Pentland is generalized in this paper. In the proposed algorithm, the raw image data in the vicinity of the edge is used to estimate the depth from defocus. Since no differentiation operation on the image data is required before the optimization process, this method is less sensitive to the noise disturbance of measurements. Furthermore, the edge orientation that was critical in Pentland's approach will not be required in our case. We then apply this algorithm to the synthetic images containing various amounts of noise to test its performance. Experimental results indicate that the depth estimation errors are kept within 5% of true values on the average when it is applied to real images.

引用

页码：405 / 411

页数：7

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