Lec17_pictstruct - CS6670 Computer Vision Noah Snavely Lecture 17 Parts-based models and context Announcements Project 3 Eigenfaces due Wednesday

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Lecture 17: Parts-based models and context CS6670: Computer Vision Noah Snavely
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Announcements Project 3: Eigenfaces due Wednesday, November 11 at 11:59pm solo project
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Object Bag of ‘words’
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3. Image representation ….. frequency codewords
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What about spatial info?
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Problem with bag-of-words All have equal probability for bag-of-words methods Location information is important
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Model: Parts and Structure
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Deformable objects Images from D. Ramanan’s dataset 8
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Deformable objects Images from Caltech-256 9
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Part-based representation Objects are decomposed into parts and spatial relations among parts 10 Fischler and Elschlager ‘73
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Pictorial structures Two components: Appearance model How much does a given window look like a given part? Spatial model How well do the parts match the expected shape?
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Pictorial Structure Matching = Local part evidence + Global constraint m i (l i ): matching cost for part I d ij (l i ,l j ): deformable cost for connected pairs of parts (v i ,v j ): connection between part i and j 13
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Part-based representation Tree model Efficient inference by dynamic programming 15
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Each part has an associated appearance model E.g., a reference patch, gradient histogram, etc. Left eye
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This note was uploaded on 09/27/2010 for the course CS 667 at Cornell University (Engineering School).

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Lec17_pictstruct - CS6670 Computer Vision Noah Snavely Lecture 17 Parts-based models and context Announcements Project 3 Eigenfaces due Wednesday

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