A novel interactive exhibition method based on handheld devices

Abstract

We propose a novel interactive method for museum exhibitions based on handheld devices such as ordinary camera-equipped mobile phones. It enables museum visitors to automatically get annotations about exhibits interest in a non-distractive wc:ry by capturing videos of them. Our method recognizes diff erent comment region of exhibits by applying SIFT algorithm on handheld devices.While SIFT is known to be a strong algorithm for local feature recognition, it is computationally expensive and unsuitable for low-end devices such as mobile phones. We introduce some modified approaches to make it suitable for handheld devices.The usefulness of the proposed method and user satisfaction are evaluated through the experimental results.

An intelligent lighting system for exhibition applications

“…Monitoring the environment is one of the most important tasks and concerns of all exhibition space. Nowadays, video camera application systems [4][5][6] can be seen in exhibition, but most of them are expensive and without personal privacy. A Passive Infrared sensor (PIR sensor) [7][8] are utilized in the system instead of a video camera for the purposes of both cost-down and privacy issue.…”