'Visual codeword withdisplacement vectors' presentation slideshows

Image alignment

Image alignment. Image alignment: Motivation. Panorama stitching. Recognition of object instances. Image alignment: Challenges. Small degree of overlap. Occlusion, clutter. Image alignment. Two broad approaches: Direct (pixel-based) alignment Search for alignment where most pixels agree

1.2k views • 58 slides

648 views • 50 slides

Fitting: The Hough transform

Fitting: The Hough transform. Review: Corner and blob detection. What are some characteristics of good features? What is the distinguishing characteristic of corners? What are the invariance properties of Harris corners? What is a scale space? What is spatial selection?

644 views • 50 slides

Fitting: The Hough transform

733 views • 46 slides

Beyond bags of features: Part-based models

Beyond bags of features: Part-based models. Many slides adapted from Fei-Fei Li, Rob Fergus, and Antonio Torralba. visual codeword with displacement vectors. Implicit shape models. Visual codebook is used to index votes for object position.

409 views • 32 slides

Beyond bags of features: Part-based models

Beyond bags of features: Part-based models. Many slides adapted from Fei-Fei Li, Rob Fergus, and Antonio Torralba. visual codeword with displacement vectors. Implicit shape models. Visual codebook is used to index votes for object position.

429 views • 32 slides