Estimating objectness using a compound eye camera

Hwiyeon Yoo, Donghoon Lee, Geonho Cha, Songhwai Oh
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引用次数: 2

Abstract

In this paper, we introduce a new hardware platform that mimics a compound eye of an insect and propose an algorithm to detect objects using it. The compound eye camera has a wide viewing angle and simulates a number of single eyes on its hemisphere. Each single eye is an elementary unit to acquire visual inputs. Visual information from single eyes is hierarchically merged to estimate objectness. We achieve the accuracy of 77.14% on a combined dataset of PASCAL VOC 2012 and COCO-Stuff 10K databases.
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用复眼相机估计物体
本文介绍了一种新的模拟昆虫复眼的硬件平台,并提出了一种利用复眼检测物体的算法。复眼相机具有宽视角,并在其半球上模拟了许多单眼。每只眼睛都是获取视觉输入的基本单位。通过对单眼视觉信息的分层合并来估计物体。我们在PASCAL VOC 2012和COCO-Stuff 10K数据库的组合数据集上实现了77.14%的准确率。
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