Efficient Recognition of Planar Objects Based on Hashing of Keypoints — An Approach Towards Making the Physical World Clickable

言語英語
種類国際会議等の予稿
著者Koichi Kise,Tomohiro Nakai,Masakazu Iwamura,Satoshi Yokota
論文名Efficient Recognition of Planar Objects Based on Hashing of Keypoints — An Approach Towards Making the Physical World Clickable
論文誌名Proc. of the 18th International Conference of Pattern Recognition (ICPR2006)
Vol.4
ページpp.813-816
発表場所Hong Kong
査読の有無有
年月2006年8月
分野文書画像検索, 文書画像解析
DOI10.1109/ICPR.2006.480
キーKise2006_ICPR (id=841)

要約

This paper presents a method of planar object recognition for aiming at accessing information about objects by taking pictures of them. For this purpose efficiency of processing is the central issue because current state-of-the-art technologies with tree structures do not necessarily work well with a large amount of data represented as high dimensional vectors. To solve this problem, we employ hashing of keypoints extracted from images of objects. With the help of hash keys obtained as integers converted from the real valued vectors, keypoints are stored with object IDs and retrieved with no search process. Voting for object IDs is employed to determine a recognized object as the one with the largest vote. Experimental results show that the proposed method is at least 400 times faster than a brute-force method while 90% of objects were correctly recognized.

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