EE/CNS/CS 148 - Spring 2003
Lectures notes
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The syllabus from the Spring 2000 Recognition class is here
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| Lecture 1: |
Summary:
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Introduction to Recognition: object categories - performance of humans - problems faced by recognition - brief introduction to recognition based on a constellation model and recognition based on feature matching. |
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04/01/03
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Notes
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Presentation |
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| Lecture 2: |
Summary:
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Match filtering - correlation with a template and thresholding - evaluation of the performance of the recognition system: visualization with ROC (receiver operating characteristic) curve. |
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04/03/03
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Notes
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(ps) (pdf) |
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Matlab Code:
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MatchedFilter.m ROC.m |
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| Lecture 3: |
Summary:
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Formation of an image - Lambertian surfaces/specular surfaces - RGB images - changes in contrast and brightness and invariance with respect to those - Principal components analysis: singluar values decomposition, computation of the subspace that best represents the data in a given number of dimensions. |
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04/08/03
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Notes
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(ps) (pdf) Presentation |
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Matlab Code:
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PCA.m |
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| Lecture 4: |
Summary:
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Singular value decomposition and properties - Fisher Linear Discriminants. |
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04/10/03
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Notes:
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(ps) (pdf) |
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Matlab Code:
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fisherLD_PP.m |
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| Lecture 5: |
Summary:
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k-nearest neighbors classifier - Bayesian classifier - estimation of probability densities (in particular gaussian densities) for use with a Bayesian classifier. |
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04/15/03
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Notes:
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Presentation |
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| Lecture 6: |
Summary:
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The constellation model (part I) - Toy model of an object composed of only one part. |
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04/17/03
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Notes:
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(ps) (pdf) |
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Article:
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ECCV2000 paper by M.Weber (former PhD student in the Vision Lab) - (ps.gz) (pdf) |
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| Lecture 7: |
Summary:
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The constellation model (part II) - Object composed of several parts. |
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04/22/03
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Notes:
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(ps) (pdf) |
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Code:
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lecture7.m |
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| Lecture 11: |
Summary:
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Lowe's object recognition algorithm - Pierre Moreels |
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05/06/03
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Notes:
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(ps) (pdf) |
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Paper:
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Original paper from David Lowe (iccv 99) (ps) (pdf) |
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| Lecture 12: |
Summary:
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How to utilize attention for object recognition and unsupervised learning - Ueli Rutishauser |
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05/08/03
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Notes:
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(pdf) |
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Papers:
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(Itti&Koch - 98) (Itti&Koch - 01) (Walther et al - 03) |
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| Lecture 14: |
Summary:
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Viola & Jones' algorithm for object recognition - Adaboost - Anelia Angelova |
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05/15/03
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Notes:
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(pdf) |
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Matlab Code:
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ABdemo.zip |
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Paper:
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(Viola&Jones - 01) |
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last updated 5/20/03