Fast Autofocus Using Subject Region Detection
Date Issued
2006
Date
2006
Author(s)
Hsieh, Ming-He
DOI
en-US
Abstract
In this thesis, we propose a high speed and high accuracy method to implement digital still camera autofocus system.
The focusing system is an important factor to determine the imaging quality of a digital still camera and video camcorder.
Moreover the image focus value evaluation algorithm is a key aspect in implementing the focusing system. Now, many kinds of auto focusing methods on the different types of digital still cameras, and various algorithms have been presented, but there are some deficiencies for these algorithms.
We provide a faster ACM (Absolute Central Moment) and HPACM (High-Pass Absolute Central Moment) for efficient focus value evaluation, adaptive auto focus search algorithm, and a new focusing windows selection method are proposed.
Our proposed high accuracy region detection with human score system, and image property score system to find the human subject or object subject region. Our method can find the primary and secondary subject region to improve the accuracy and efficiency of the traditional autofocus system.
Subjects
自動聚焦
對焦
主題偵測
Autofocus
Subject Region Detection
Fast
Type
thesis
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