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Sample many images
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Classroom Contents
Object Recognition
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- 1 Object recognition
- 2 Bag of Words
- 3 Bags of Words
- 4 Capture the pattern in patch
- 5 The dimensionality
- 6 Sample many patches
- 7 Two types of sampling
- 8 Sample many images
- 9 Include all relevant variations
- 10 Form a dictionary of words
- 11 Ideally words cover similar patches
- 12 Count words per image
- 13 Codeboods
- 14 Learn histogram similarity
- 15 Similarity between two histograms
- 16 Classify unknown image
- 17 Concept-specific codebooks
- 18 Conclusion on concept-codebooks
- 19 Soft word assignment
- 20 Fisher vector
- 21 Conclusion on words
- 22 Codebook synonyms
- 23 How close are synonyms?
- 24 90% removed, same result
- 25 Visual synonym examples
- 26 Conclusion on visual synonyms
- 27 Convex reduced codebooks
- 28 Conclusion convex reduced
- 29 The where and what
- 30 What makes a boat a boat?
- 31 What is the object in the middle?
- 32 Where is evidence?
- 33 Where is evidence for an object?
- 34 The visual extent of an object
- 35 Context dominance
- 36 Object dominance
- 37 Object detail dominance
- 38 Pyramids: simple compositional
- 39 Exhaustive search
- 40 The need for high recall
- 41 The need for hierarchy
- 42 Selective search example
- 43 Selective search to get high recall
- 44 Average best overlap -88%
- 45 Classification with selective search
- 46 Conclusion on location
- 47 Two concepts in interaction
