Estimating objectness using a compound eye camera

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.