FOCUSING TECHNIQUES

被引:302
作者
SUBBARAO, M [1 ]
CHOI, T [1 ]
NIKZAD, A [1 ]
机构
[1] SYMBOL TECHNOL INC,DEPT RES & DEV,TECH STAFF,BOHEMIA,NY 11716
关键词
FOCUSING TECHNIQUE; POINT SPREAD FUNCTION; FOCUS MEASURE; BAND-PASS FILTERING; SIDELOBE EFFECT;
D O I
10.1117/12.147706
中图分类号
O43 [光学];
学科分类号
070207 ; 0803 ;
摘要
We use the paraxial geometric optics model of image formation to derive a set of camera focusing techniques. These techniques do not require calibration of cameras but involve a search of the camera parameter space. The techniques are proved to be theoretically sound under weak assumptions. They include energy maximization of unfiltered, low-pass-filtered, high-pass-filtered, and bandpass-filtered images. It is shown that in the presence of high spatial frequencies, noise, and aliasing, focusing techniques based on bandpass filters perform well. The focusing techniques are implemented on a prototype camera system called the Stonybrook passive autofocusing and ranging camera system (SPARCS). The architecture of SPARCS is described briefly. The performance of the different techniques are compared experimentally. All techniques are found to perform well. The energy of low-pass-filtered image gradient, which has better overall characteristics, is recommended for practical applications.
引用
收藏
页码:2824 / 2836
页数:13
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