'Distinctive image features' 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

776 Computer Vision

776 Computer Vision. Jan-Michael Frahm Spring 2012. Image alignment. Image from http://graphics.cs.cmu.edu/courses/15-463/2010_fall/. A look into the past. http://blog.flickr.net/en/2010/01/27/a-look-into-the-past/. A look into the past. http://komen-dant.livejournal.com/345684.html.

651 views • 56 slides

Interest Point Descriptors

748 views • 51 slides

Interest Point Descriptors

519 views • 51 slides

776 Computer Vision

776 Computer Vision. Jan-Michael Frahm Spring 2012. Image alignment. Image from http://graphics.cs.cmu.edu/courses/15-463/2010_fall/. A look into the past. http://blog.flickr.net/en/2010/01/27/a-look-into-the-past/. A look into the past. http://komen-dant.livejournal.com/345684.html.

580 views • 45 slides

Object Recognition

Object Recognition. Outline: Introduction Representation: Concept Representation: Features Learning & Recognition Segmentation & Recognition. Credits: major sources of material, including figures and slides were:

701 views • 38 slides

Distinctive Image Features from Scale-Invariant Keypoints

396 views • 26 slides

ON THE IMPROVEMENT OF IMAGE REGISTRATION FOR HIGH ACCURACY SUPER-RESOLUTION

ON THE IMPROVEMENT OF IMAGE REGISTRATION FOR HIGH ACCURACY SUPER-RESOLUTION. Michalis Vrigkas , Christophoros Nikou , Lisimachos P. Kondi University of Ioannina Department of Computer Science Ioannina , Greece. MOTIVATION. Objective

391 views • 23 slides

Object Segmentation Based on Multiple Features Fusion and Conditional Random Field

Object Segmentation Based on Multiple Features Fusion and Conditional Random Field. CASIA_IGIT National Laboratory of Pattern Recognition(NLPR) Institute of Automation, Chinese Academy of Sciences(CASIA). Reporter? Kun Ding ???? 2013.10.17. Outline. System Overview System Characteristics

294 views • 17 slides

ECE 562 Computer Architecture and Design Project: Improving Feature Extraction Using SIFT on GPU

ECE 562 Computer Architecture and Design Project: Improving Feature Extraction Using SIFT on GPU Rodrigo Savage, Wo-Tak Wu. Overview. Application: Object tracking in real time Challenges: Static Scene Moving objects Occluding Collision Disappearing Rotation Scaling

257 views • 14 slides