AN INVESTIGATION OF METHODS FOR DETERMINING DEPTH FROM FOCUS

被引:231
作者
ENS, J [1 ]
LAWRENCE, P [1 ]
机构
[1] UNIV BRITISH COLUMBIA,DEPT ELECT ENGN,VANCOUVER V6T 1W5,BC,CANADA
基金
加拿大自然科学与工程研究理事会;
关键词
DEPTH FROM FOCUS; RANGE DETECTION;
D O I
10.1109/34.192482
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The concept of depth from focus involves calculating distances to points in an observed scene by modeling the effect that the camera's focal parameters have on images acquired with a small depth of field. This technique is passive and requires only a single camera. The most difficult segment of calculating depth from focus is deconvolving the defocus operator from the scene and modeling it. Most current methods for determining the defocus operator employ inverse filtering. This paper will reveal some fundamental problems with inverse filtering: inaccuracies in the finding the frequency domain representation, windowing effects, and border effects. A general, matrix-based method using regularization will be presented, which eliminates these problems. The new method will also be confirmed experimentally, with the results showing an rms error of 1.3%.
引用
收藏
页码:97 / 108
页数:12
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