High speed 3D object retrieval using skewness value

Vicky Sintunata, T. Aoki
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Abstract

A novel high-speed 3D object retrieval system is presented here. Since creating a 3D model as an input to the retrieval system is not trivial, a 2D image (photos, sketches, etc.) of the object is usually used instead. We present a new high-speed retrieval method by using skewness information. The images in the database will be represented by a skewness function. By using the proposed method, comparison between the query and all images in the database can be avoided. From the experiment, the proposed method performs 60 times faster than using only SURF method in retrieval system.
基于偏度值的高速三维物体检索
提出了一种新型的高速三维目标检索系统。由于创建3D模型作为检索系统的输入并不简单,因此通常使用对象的2D图像(照片,草图等)来代替。提出了一种利用偏度信息的高速检索方法。数据库中的图像将由偏度函数表示。使用该方法可以避免查询结果与数据库中所有图像的比较。实验结果表明,该方法的检索速度比仅使用SURF方法的检索速度快60倍。
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