Qualitative Representations for Recognition

[1]  Jake K. Aggarwal,et al.  Combining structure, color and texture for image retrieval: A performance evaluation , 2002, Object recognition supported by user interaction for service robots.

[2]  Sayan Mukherjee,et al.  Feature reduction and hierarchy of classifiers for fast object detection in video images , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[3]  Paul A. Viola,et al.  Rapid object detection using a boosted cascade of simple features , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.

[4]  Paul A. Viola,et al.  Robust Real-Time Face Detection , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

[5]  T. Gevers Robust histogram construction from color invariants , 2001, Proceedings Eighth IEEE International Conference on Computer Vision. ICCV 2001.

[6]  James L. Crowley,et al.  Robust face tracking using color , 2000, Proceedings Fourth IEEE International Conference on Automatic Face and Gesture Recognition (Cat. No. PR00580).

[7]  Tomaso A. Poggio,et al.  Trainable pedestrian detection , 1999, Proceedings 1999 International Conference on Image Processing (Cat. 99CH36348).

[8]  Marco La Cascia,et al.  Fast, reliable head tracking under varying illumination , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

[9]  John Krumm,et al.  Object recognition with color cooccurrence histograms , 1999, Proceedings. 1999 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No PR00149).

[10]  A. Young,et al.  In the Eye of the Beholder: The Science of Face Perception , 1998 .

[11]  Shree K. Nayar,et al.  Ordinal Measures for Image Correspondence , 1998, IEEE Trans. Pattern Anal. Mach. Intell..

[12]  Jie Wei,et al.  Illumination-invariant color object recognition via compressed chromaticity histograms of color-channel-normalized images , 1998, Sixth International Conference on Computer Vision (IEEE Cat. No.98CH36271).

[13]  Jing Huang,et al.  Image indexing using color correlograms , 1997, Proceedings of IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[14]  Thomas G. Dietterich What is machine learning? , 2020, Archives of Disease in Childhood.

[15]  Tai Sing Lee,et al.  Image Representation Using 2D Gabor Wavelets , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[16]  Venu Govindaraju,et al.  Locating human faces in photographs , 1996, International Journal of Computer Vision.

[17]  Takeo Kanade,et al.  Neural network-based face detection , 1996, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[18]  S. Nayar,et al.  Parametric Feature Detection , 1996, Proceedings CVPR IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[19]  Takeo Kanade,et al.  Human Face Detection in Visual Scenes , 1995, NIPS.

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

[21]  Amara Lynn Graps,et al.  An introduction to wavelets , 1995 .

[22]  David Salesin,et al.  Wavelets for computer graphics: a primer.1 , 1995, IEEE Computer Graphics and Applications.

[23]  Brian V. Funt,et al.  Color Constant Color Indexing , 1995, IEEE Trans. Pattern Anal. Mach. Intell..

[24]  V Bruce,et al.  The Use of Pigmentation and Shading Information in Recognising the Sex and Identities of Faces , 1994, Perception.

[25]  David Beymer,et al.  Face recognition under varying pose , 1994, 1994 Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[26]  Ramin Zabih,et al.  Non-parametric Local Transforms for Computing Visual Correspondence , 1994, ECCV.

[27]  R. Watt A Computational Examination of Image Segmentation and the Initial Stages of Human Vision , 1994, Perception.

[28]  V. Bruce Stability from Variation: The Case of Face Recognition the M.D. Vernon Memorial Lecture , 1994, The Quarterly journal of experimental psychology. A, Human experimental psychology.

[29]  Roberto Brunelli,et al.  Face Recognition: Features Versus Templates , 1993, IEEE Trans. Pattern Anal. Mach. Intell..

[30]  Daniel P. Huttenlocher,et al.  Comparing Images Using the Hausdorff Distance , 1993, IEEE Trans. Pattern Anal. Mach. Intell..

[31]  C. S. Burrus,et al.  Wavelet transforms and filter banks , 1993 .

[32]  Thomas S. Huang,et al.  Human face detection in a scene , 1993, Proceedings of IEEE Conference on Computer Vision and Pattern Recognition.

[33]  I. Ohzawa,et al.  Spatiotemporal organization of simple-cell receptive fields in the cat's striate cortex. I. General characteristics and postnatal development. , 1993, Journal of neurophysiology.

[34]  A. Verri,et al.  Computational aspects of motion perception in natural and artificial vision systems. , 1992, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

[35]  Ian Craw,et al.  Finding Face Features , 1992, ECCV.

[36]  Ronald A. DeVore,et al.  Image compression through wavelet transform coding , 1992, IEEE Trans. Inf. Theory.

[37]  Michael J. Swain,et al.  Color indexing , 1991, International Journal of Computer Vision.

[38]  Roberto Brunelli,et al.  HyperBF Networks for Real Object Recognition , 1991, IJCAI.

[39]  Peter J. Burt,et al.  Multiresolution Techniques For Image Representation, Analysis, And 'Smart' Transmission , 1989, Other Conferences.

[40]  Venu Govindaraju,et al.  Locating human faces in newspaper photographs , 1989, Proceedings CVPR '89: IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[41]  D. W. Murray,et al.  Using the orientation of fragmentary 3D edge segments for polyhedral object recognition , 1988, International Journal of Computer Vision.

[42]  W. Eric L. Grimson,et al.  Localizing Overlapping Parts by Searching the Interpretation Tree , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[43]  Edward H. Adelson,et al.  PYRAMID METHODS IN IMAGE PROCESSING. , 1984 .

[44]  D. G. Albrecht,et al.  Striate cortex of monkey and cat: contrast response function. , 1982, Journal of neurophysiology.

[45]  Robert J. Baron,et al.  Mechanisms of Human Facial Recognition , 1981, Int. J. Man Mach. Stud..

[46]  Richard O. Duda,et al.  Pattern classification and scene analysis , 1974, A Wiley-Interscience publication.

[47]  L. D. Harmon The recognition of faces. , 1973, Scientific American.

[48]  W. J. Conover,et al.  Practical Nonparametric Statistics , 1972 .

[49]  R. Phillips Why are faces hard to recognize in photographic negative? , 1972 .

[50]  J. Hochberg,et al.  Recognition memory for photographs of faces. , 1971, The American journal of psychology.

[51]  R. Galper,et al.  Recognition of faces in photographic negative , 1970 .

[52]  Demetri Terzopoulos,et al.  Snakes: Active contour models , 2004, International Journal of Computer Vision.

[53]  Paul A. Viola,et al.  Robust Real-time Object Detection , 2001 .

[54]  V. Bruce,et al.  The prototype effect in face recognition: Extension and limits , 1999, Memory & cognition.

[55]  Aparna Lakshmi Ratan,et al.  Learning visual concepts for image classification , 1999 .

[56]  Tomaso A. Poggio,et al.  Example-Based Learning for View-Based Human Face Detection , 1998, IEEE Trans. Pattern Anal. Mach. Intell..

[57]  Pamela R. Lipson,et al.  Context and configuration based scene classification , 1996 .

[58]  Thomas S. Huang,et al.  Human face detection in a complex background , 1994, Pattern Recognit..

[59]  H. Martin Hunke,et al.  Locating and Tracking of Human Faces with Neural Networks , 1994 .

[60]  E. J. Stollnitz,et al.  Wavelets for Computer Graphics : A Primer , 1994 .

[61]  Patrick Cavanagh,et al.  What's up in top-down processing? , 1991 .

[62]  M. Bichsel Strategies of robust object recognition for the automatic identification of human faces , 1991 .