Clustering appearances of 3D objects

TitleClustering appearances of 3D objects
Publication TypeConference Papers
Year of Publication1998
AuthorsBasri R, Roth D, Jacobs DW
Conference NameComputer Vision and Pattern Recognition, 1998. Proceedings. 1998 IEEE Computer Society Conference on
Date Published1998/06//
Keywords3D, clustering;image, clustering;sequences, images;unsupervised, objects;local, of, properties;reliable, recognition;, sequences;object

We introduce a method for unsupervised clustering of images of 3D objects. Our method examines the space of all images and partitions the images into sets that form smooth and parallel surfaces in this space. It further uses sequences of images to obtain more reliable clustering. Finally, since our method relies on a non-Euclidean similarity measure we introduce algebraic techniques for estimating local properties of these surfaces without first embedding the images in a Euclidean space. We demonstrate our method by applying it to a large database of images