Using Spin Images for Efficient Object Recognition in Cluttered 3D Scenes
IEEE Transactions on Pattern Analysis and Machine Intelligence
Dense 3D Reconstruction with an Uncalibrated Stereo System using Coded Structured Light
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03
Pagerank for product image search
Proceedings of the 17th international conference on World Wide Web
VisualRank: Applying PageRank to Large-Scale Image Search
IEEE Transactions on Pattern Analysis and Machine Intelligence
Multiclass VisualRank: image ranking method in clustered subsets based on visual features
Proceedings of the 32nd international ACM SIGIR conference on Research and development in information retrieval
EG 3DOR'09 Proceedings of the 2nd Eurographics conference on 3D Object Retrieval
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In recent years, usage of 3D object for various purposes, such as CG movie, games, web 3D and so on, is rapidly increasing. In addition, 3D shape capturing method is also improved and many commercial products are now widely available. As a result, a number of 3D objects those are uploaded and published on the Web will greatly increase in the near future. On the other hand, the method for retrieving 3D objects from the Web is not thoroughly researched yet. Based on this background, we propose an efficient method to retrieve a 3D object from the Web using both 3D feature of the 3D objects and ranking results of web search. In this demo, we will show a real time demo on 3D object search using a number of 3D data we scanned in our lab. and retrieved data from the Web.