Modeling and Recognition of Landmark Image Collections Using Iconic Scene Graphs
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part I
Retrieving landmark and non-landmark images from community photo collections
Proceedings of the international conference on Multimedia
Landmark image classification using 3D point clouds
Proceedings of the international conference on Multimedia
Landmark image retrieval using visual synonyms
Proceedings of the international conference on Multimedia
VIRaL: Visual Image Retrieval and Localization
Multimedia Tools and Applications
Joint ACM workshop on human gesture and behavior understanding: (J-HGBU'11)
MM '11 Proceedings of the 19th ACM international conference on Multimedia
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Existing landmark retrieval methods cannot provide a comprehensive solution, by which user can view different angles of landmark. In this paper, we propose a novel approach to reconstruct and retrieve 3D landmark models by direct 2D to 3D matching. In an offline module, firstly, attention-based 3D reconstruction method is proposed to reconstruct sparse 3D landmark models. Secondly, we construct textured 3D landmark model for each sparse 3D landmark model. Finally, a 3D landmark recognizer is built for each landmark based on the 3D landmark model. In online module, query images are recognized by the 3D landmark recognizers using a 2D to 3D matching approach. For each recognized query image, a 3D landmark model and a 3D landmark texture model are presented as a query result. Experimental results demonstrate the effectiveness of our proposed approach.