실내 이미지를 사용하여 문을 중심으로 한 설계도면 추정 방법
Method for Estimating Blueprint Based on Doors Using an Indoor Image
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참고문헌
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초록
기존의 실내위치 인식 기술은 WLAN, GPS, Bluetooth, 또는 자기장 기술을 사용하는 것이 일반적이다. 하지만 이러한 기술은 실내 환경에서는 수신 신호 세기로 인해 오차를 발생시킬 수 있다. 센서를 사용하지 않는 실내위치 인식 방법으로 3D 건물 모델을 참조하는 방법이 있다. 본 논문은 3D 건물 모델을 참조하기 위하여 설계도면을 추정 하는 방법을 제안한다. 제안된 방법은 이미지를 사용하여 이미지 안의 문과 같은 건물 안의 영구적인 정적 물체를 인식, 사용하여 정적 물체와 정적 물체 간의 실제 거리 비율을 예측, 계산한다. 계산한 정적 물체 간의 실제 거리 비율을 사용하여 이미지 안의 정적 물체를 재배열하여 설계도면을 모델링한다. 본 논문의 설계도면 모델링 방법을 사용하여 실내위치 인식을 하면 특별한 인프라나 센서 없이도 이미지 한 장으로 값싸게 실내위치 인식을 할 수 있을 것으로 기대된다.
Abstract
In the conventional indoor location recognition technology, WLAN, GPS, and Bluetooth technologies are generally used. However, this technique may cause an error in the indoor environment due to the received signal strength. There is a method of reference from 3D building model as a method of recognizing indoor location without a sensor. This paper proposes a method for modeling blueprint to refer to a 3D building model, which is one of the methods of indoor location recognition. The proposed method uses images to recognize static objects in buildings, such as doors in images, to predict and calculate the real-world distance ratio between static objects and static objects. Then our system model the blueprint by rearranging the static objects in the image using the calculated ratio of actual distances between static objects. It is expected that the indoor location recognition using the design drawing modeling method of this paper will be able to recognize the indoor location inexpensively with a single image without special infrastructure or sensor.
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