Algorithms for clustering data
Algorithms for clustering data
Recognition by Linear Combinations of Models
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part I
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part I
Parts of Visual Form: Computational Aspects
IEEE Transactions on Pattern Analysis and Machine Intelligence
Visual learning and recognition of 3-D objects from appearance
International Journal of Computer Vision
What can two images tell us about a third one?
International Journal of Computer Vision
Inferring global perceptual contours from local features
International Journal of Computer Vision - Special issue on computer vision research at the University of Southern California
On Photometric Issues in 3D Visual Recognition from aSingle 2D Image
International Journal of Computer Vision
Matching 3-D Models to 2-D Images
International Journal of Computer Vision
Linear Object Classes and Image Synthesis From a Single Example Image
IEEE Transactions on Pattern Analysis and Machine Intelligence
ECCV '96 Proceedings of the 4th European Conference on Computer Vision-Volume II - Volume II
A bootstrapping algorithm for learning linear models of object classes
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
Normalized Cuts and Image Segmentation
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
What is the set of images of an object under all possible lighting conditions?
CVPR '96 Proceedings of the 1996 Conference on Computer Vision and Pattern Recognition (CVPR '96)
Nonlinear manifold learning for visual speech recognition
ICCV '95 Proceedings of the Fifth International Conference on Computer Vision
Representing and using functional definitions for visual recognition
Representing and using functional definitions for visual recognition
Condensing Image Databases when Retrieval is Based on Non-Metric Distances
ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Introduction: Computer Vision Research at NECI
International Journal of Computer Vision - Special issue on computer vision research at NEC Research Institute
Learning cost-sensitive active classifiers
Artificial Intelligence
Representing Edge Models via Local Principal Component Analysis
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part I
Towards Self-Exploring Discriminating Features
MLDM '01 Proceedings of the Second International Workshop on Machine Learning and Data Mining in Pattern Recognition
Shape Models and Object Recognition
Shape, Contour and Grouping in Computer Vision
Planar arrangement of high-dimensional biomedical data sets by isomap coordinates
CBMS'03 Proceedings of the 16th IEEE conference on Computer-based medical systems
3D model-based hand tracking using stochastic direct search method
FGR' 04 Proceedings of the Sixth IEEE international conference on Automatic face and gesture recognition
Clustering appearances of objects under varying illumination conditions
CVPR'03 Proceedings of the 2003 IEEE computer society conference on Computer vision and pattern recognition
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
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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.