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Beyond Bags of Features Spatial Pyramid Matching for Recognizing Natural Scene Categories Presentation: Constance Clive CS 3710 Visual Recognition
Beyond Bags of FeaturesSpatial Pyramid Matching for Recognizing Natural Scene Categories
Presentation: Constance Clive
CS 3710 Visual Recognition
Outline
Overview
Methods
Discussion questions
Experimental
Discussion questions
Background
*image from Grauman and Darrel (2005)
Pyramid Matching in Two-Dimensional
Image Space
Discussion of Methods
How are thresholds decided/chosen when extracting features?
Does anyone have background knowledge on how the “strong features” are
calculated
What is the dense regular grid referred to?
Would color data have made a difference? How could color data have been
incorporated?
Experiment Design
Dataset 1: 15 categories, 200-400 images per category
100 images per class used for training (randomly selected)
Remainder used for testing
M = Visual vocabulary size
Results
Comparison to other work
Performance Summary
Any Final Discussion Questions?
