'Scale selection' presentation slideshows

By: Navid Einackchi

?? ??? ???. Isfahan University of Technology Electrical and Computer Department. Master Thesis of Computer Engineering- Artificial Intelligence and Robotic. Image alignment and stitching using Object Recognition Methods. By: Navid Einackchi. Supervisors: Dr Rasoul Amirfattahi

1.07k views • 91 slides

S cale and interest point descriptors

S cale and interest point descriptors. T-11 Computer Vision University of Ioannina Christophoros Nikou. Images and slides from: James Hayes, Brown University, Computer Vision course Svetlana Lazebnik, University of North Carolina at Chapel Hill, Computer Vision course

754 views • 75 slides

Scales and Descriptors

751 views • 71 slides

Improving 3-D processing: an efficient data structure and scale selection

782 views • 68 slides

Lecture 4: Feature matching

694 views • 63 slides

Lecture 7: Features Part 2

CS4670/5670: Computer Vision. Noah Snavely. Lecture 7: Features Part 2. Reading. Szeliski: 4.1. Harris Detector: Invariance Properties. Rotation. Ellipse rotates but its shape (i.e. eigenvalues) remains the same. Corner response is invariant to image rotation. R. R. x (image coordinate).

530 views • 39 slides

Lecture 7: Features 2: Invariance and blob detection

CS4670/5670: Computer Vision. Noah Snavely. Lecture 7: Features 2: Invariance and blob detection. Announcements. Demos today In Upson 317 IMPORTANT: Please come early and setup your machine to demo in time for your slot No demo time works? Please email us. Reading. Szeliski: 4.1.

487 views • 33 slides

Another kind of feature: blob

314 views • 30 slides