Landmark image classification using 3D point clouds

	Landmark image classification using 3D point clouds
	Xiao, Xian; Xu, Changsheng; Wang, Jinqiao
	2010
会议名称	MM'10 - the ACM Multimedia 2010 International Conference
会议录名称	ACM Multimedia Conferenc (MM)
页码	719-722
会议日期	2010
会议地点	Chicago, IL, USA
摘要	Most of the existing approaches for landmark image classification utilize either holistic features or interest of points in the whole image to train the classification model, which may lead to unsatisfactory result due to involvement of much information nonlocated on the landmark in the training process. In this paper, we propose a novel approach to improve landmark image classification result via a process of 2D to 3D reconstruction and 3D to 2D projection of iconic landmark images. Particularly, we first select iconic images from labeled landmark image collections to reconstruct a 3D landmark represented in point clouds. Then, 3D point clouds are projected back onto the same iconic images to obtain the landmark-region of each iconic image and subsequently extract SIFT features from the landmark-region to construct a kdimensional tree (kd-tree) for each landmark. This process is able to filter out noise points corresponding to clutter background and nonlandmark objects in the iconic images. Finally, the unlabeled images can be classified into predefined landmark categories based on the amount of matched feature points between the image features and the kd-trees. The experimental result and comparison with the stateof- the-art demonstrate the effectiveness of our approach.
关键词	Landmark Image 3d Point Clouds
收录类别	EI
文献类型	会议论文
条目标识符	http://ir.ia.ac.cn/handle/173211/4594
专题	紫东太初大模型研究中心_图像与视频分析
通讯作者	Wang, Jinqiao
推荐引用方式 GB/T 7714	Xiao, Xian,Xu, Changsheng,Wang, Jinqiao. Landmark image classification using 3D point clouds[C],2010:719-722.

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