Using Discriminant Eigenfeatures for Image Retrieval

This paper describes the automatic selection of features from an image training set using the theories of multidimensional discriminant analysis and the associated optimal linear projection. We demonstrate the effectiveness of these most discriminating features for view-based class retrieval from a large database of widely varying real-world objects presented as "well-framed" views, and compare it with that of the principal component analysis.

[1]  R. Fisher.  THE STATISTICAL UTILIZATION OF MULTIPLE MEASUREMENTS , 1938 .

[2]  Michel Loève,et al.  Probability Theory I , 1977 .

[3]  Peter E. Hart,et al.  Nearest neighbor pattern classification , 1967, IEEE Trans. Inf. Theory.

[4]  Anil K. Jain,et al.  Algorithms for Clustering Data , 1988 .

[5]  Takeo Kanade,et al.  Automatic generation of object recognition programs , 1988, Proc. IEEE.

[6]  Lawrence Sirovich,et al.  Application of the Karhunen-Loeve Procedure for the Characterization of Human Faces , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[7]  Keinosuke Fukunaga,et al.  Introduction to statistical pattern recognition (2nd ed.) , 1990 .

[8]  M. Turk,et al.  Eigenfaces for Recognition , 1991, Journal of Cognitive Neuroscience.

[9]  Ramesh C. Jain,et al.  A Visual Information Management System for the Interactive Retrieval of Faces , 1993, IEEE Trans. Knowl. Data Eng..

[10]  Katsumi Tanaka,et al.  OVID: Design and Implementation of a Video-Object Database System , 1993, IEEE Trans. Knowl. Data Eng..

[11]  Ramesh C. Jain,et al.  Metadata in video databases , 1994, SGMD.

[12]  Hiroshi Murase,et al.  Illumination planning for object recognition in structured environments , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[13]  Alex Pentland,et al.  View-based and modular eigenspaces for face recognition , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[14]  Stephen M. Omohundro,et al.  Nonlinear manifold learning for visual speech recognition , 1995, Proceedings of IEEE International Conference on Computer Vision.

[15]  Juyang Weng,et al.  Efficient image retrieval using a network with complex neurons , 1995, Proceedings of ICNN'95 - International Conference on Neural Networks.

[16]  David Beymer,et al.  Face recognition from one example view , 1995, Proceedings of IEEE International Conference on Computer Vision.

[17]  Juyang Weng,et al.  Genetic algorithms for object recognition in a complex scene , 1995, Proceedings., International Conference on Image Processing.

[18]  Alex Pentland,et al.  Probabilistic visual learning for object detection , 1995, Proceedings of IEEE International Conference on Computer Vision.

[19]  Daniel L. Swets,et al.  A System for Combining Traditional Alphanumeric Queries with Content-Based Queries by Example in Ima , 1996 .