'Keypoint descriptor' presentation slideshows

Representation, Description and Matching

Representation, Description and Matching. CS485/685 Computer Vision Dr. George Bebis. Matching. Given covariant region descriptors, what information should we use for matching corresponding regions in different images?. ?. Simplest approach: correlation.

812 views • 81 slides

Interest Point Descriptors and Matching

946 views • 79 slides

Interest Point Descriptors

747 views • 51 slides

Interest Point Descriptors

518 views • 51 slides

Attention Model Based SIFT Keypoints Filtration for Image Retrieval

Attention Model Based SIFT Keypoints Filtration for Image Retrieval. Ke Gao 1,2 , Shouxun Lin 1 , Yongdong Zhang 1 , Sheng Tang 1 , Huamin Ren 1,3 1 Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China, 100080

567 views • 43 slides

Distinctive Image Features from Scale-Invariant Keypoints

Distinctive Image Features from Scale-Invariant Keypoints. Ronnie Bajwa Sameer Pawar *. * Adapted from slides found online by Michael Kowalski, Lehigh University. Goal.

610 views • 42 slides

The SIFT (Scale Invariant Feature Transform) Detector and Descriptor

The SIFT (Scale Invariant Feature Transform) Detector and Descriptor. developed by David Lowe University of British Columbia Initial paper ICCV 1999 Newer journal paper IJCV 2004. SIFT: Motivation.

437 views • 39 slides

The SIFT (Scale Invariant Feature Transform) Detector and Descriptor

362 views • 35 slides

The SIFT (Scale Invariant Feature Transform) Detector and Descriptor

343 views • 34 slides

The SIFT (Scale Invariant Feature Transform) Detector and Descriptor

The SIFT (Scale Invariant Feature Transform) Detector and Descriptor. developed by David Lowe University of British Columbia Initial paper 1999 Newer journal paper 2004. Motivation. The Harris operator is not invariant to scale and its descriptor was not invariant to rotation 1.

363 views • 32 slides

Object Recognition

Object Recognition. Article: Distinctive Image Features from Scale -Invariant Keypoints. C. Pantofaru and M. Hebert. CMU Technical Report, September 2005. Xiang Li

264 views • 11 slides