The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
시각 정보 획득을 위해 망막의 광수용체에 의한 불균일한 샘플링 과정은 시각 처리의 초기 단계에서 발생합니다. 인간의 눈은 관심 대상에서 광수용체의 불균일한 분포를 통해 높은 시각적 해상도를 받습니다. 따라서 본 논문에서는 인간 눈의 시각 특성을 기반으로 실시간 영상 카메라 시스템을 위한 자동 노출 및 초점 알고리즘을 제안한다. 주어진 움직이는 물체에 대해 시각적 중요성을 정량화하기 위해 시각적 가중치가 모델링되고 관련 자동 노출 및 초점 매개변수는 자동 초점을 위한 DoM(중앙값 차이) 및 Tenengrad 방법과 같은 전통적인 수치 표현에 가중치를 적용하여 파생됩니다. .
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부
Kwanghyun LEE, Suyoung PARK, Sanghoon LEE, "Object-Based Auto Exposure and Focus Algorithms Based on the Human Visual System" in IEICE TRANSACTIONS on Fundamentals,
vol. E92-A, no. 3, pp. 832-835, March 2009, doi: 10.1587/transfun.E92.A.832.
Abstract: For the acquisition of visual information, the nonuniform sampling process by photoreceptors on the retina occurs at the earliest stage of visual processing. From objects of interest, the human eye receives high visual resolution through nonuniform distribution of photoreceptors. Therefore, this paper proposes auto exposure and focus algorithms for the real-time video camera system based on the visual characteristic of the human eye. For given moving objects, the visual weight is modeled for quantifying the visual importance and the associated auto exposure and focus parameters are derived by applying the weight to the traditional numerical expression, i.e., the DoM (Difference of Median) and Tenengrad methods for auto focus.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E92.A.832/_p
부
@ARTICLE{e92-a_3_832,
author={Kwanghyun LEE, Suyoung PARK, Sanghoon LEE, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Object-Based Auto Exposure and Focus Algorithms Based on the Human Visual System},
year={2009},
volume={E92-A},
number={3},
pages={832-835},
abstract={For the acquisition of visual information, the nonuniform sampling process by photoreceptors on the retina occurs at the earliest stage of visual processing. From objects of interest, the human eye receives high visual resolution through nonuniform distribution of photoreceptors. Therefore, this paper proposes auto exposure and focus algorithms for the real-time video camera system based on the visual characteristic of the human eye. For given moving objects, the visual weight is modeled for quantifying the visual importance and the associated auto exposure and focus parameters are derived by applying the weight to the traditional numerical expression, i.e., the DoM (Difference of Median) and Tenengrad methods for auto focus.},
keywords={},
doi={10.1587/transfun.E92.A.832},
ISSN={1745-1337},
month={March},}
부
TY - JOUR
TI - Object-Based Auto Exposure and Focus Algorithms Based on the Human Visual System
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 832
EP - 835
AU - Kwanghyun LEE
AU - Suyoung PARK
AU - Sanghoon LEE
PY - 2009
DO - 10.1587/transfun.E92.A.832
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E92-A
IS - 3
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - March 2009
AB - For the acquisition of visual information, the nonuniform sampling process by photoreceptors on the retina occurs at the earliest stage of visual processing. From objects of interest, the human eye receives high visual resolution through nonuniform distribution of photoreceptors. Therefore, this paper proposes auto exposure and focus algorithms for the real-time video camera system based on the visual characteristic of the human eye. For given moving objects, the visual weight is modeled for quantifying the visual importance and the associated auto exposure and focus parameters are derived by applying the weight to the traditional numerical expression, i.e., the DoM (Difference of Median) and Tenengrad methods for auto focus.
ER -