1. Bag-of-features models Many slides adapted from Fei-Fei Li, Rob Fergus, and Antonio Torralba 2. Overview: Bag-of-features models• Origins and motivation• Image representation•…
1.Classical Methods for Object Recognition Rob Fergus (NYU)2. Classical MethodsBag of words approachesParts and structure approaches Discriminative methodsCondensed versionof…
1.Large Scale Recognition and Retrieval2. What does the world look like?Scaling to billions of imagesObject Recognition for large-scale searchFocus on scaling rather than…
1. Bag-of-Words modelsComputer Vision Lecture 8Slides from: S. Lazebnik, A. Torralba, L. Fei-Fei, D. Lowe, C. Szurka 2. Bag-of-features models 3. Overview: Bag-of-features…
Slide 1 Bag-of-features models Many slides adapted from Fei-Fei Li, Rob Fergus, and Antonio Torralba Slide 2 Overview: Bag-of-features models Origins and motivation Image…
Slide 1 Large Scale Recognition and Retrieval Slide 2 What does the world look like? High level image statistics Object Recognition for large-scale search Focus on scaling…
Slide 1 The Beauty of Local Invariant Features Svetlana Lazebnik Beckman Institute, University of Illinois at Urbana-Champaign IMA Recognition Workshop University of Minnesota…
Slide 1 Indexing Techniques Mei-Chen Yeh Slide 2 Last week Matching two sets of features – Strategy 1 Convert to a fixed-length feature vector (Bag-of-words) Use a conventional…
Slide 1 Classical Methods for Object Recognition Rob Fergus (NYU) Classical Methods Bag of words approaches Parts and structure approaches Discriminative methods Condensed…