'Sift features' diaporamas de présentation

Image Stitching

887 views • 63 slides

Image Stitching

775 views • 63 slides

Image Stitching and Panoramas

Image Stitching and Panoramas. Stanford CS223B Computer Vision, Winter 2007 Professors Sebastian Thrun and Jana Kosecka. Vaibhav Vaish. Manhattan, 1949. Why Panoramas ? . Cartography: stitching aerial images to make maps. Why Panoramas ? . Virtual reality: a sense of being there

1.31k views • 56 slides

Recognition Using SIFT Features

Recognition Using SIFT Features. CS491Y/691Y Topics in Computer Vision Dr. George Bebis. Object Recognition. Model-based Object Recognition Generic Object Recognition. Model-Based Object Recognition. Recognition relies upon the existence of a set of predefined objects.

542 views • 53 slides

Interest Point Descriptors

753 views • 51 slides

Interest Point Descriptors

519 views • 51 slides

Distinctive Image Features from Scale-Invariant Keypoints

396 views • 26 slides

Aim of the project

Aim of the project. Take your image Submit it to the search engine Similar images are found Name of the building appears. Landmark Locations. Recognition of Buildings Using SIFT (ROBUST). Solution overview. Image representation by SIFT keypoints Sky and hedge detection

197 views • 19 slides

Face Categorization using SIFT features

Face Categorization using SIFT features. Mei-Chen (Mei) Yeh ECE 281B 06/13/2006. Bush vs Schwarzenegger. Serena Williams vs Venus Williams. Main goal. Face categorization problem Object class recognition techniques have seen progress in recent years (ex: bag-of-words models)

270 views • 14 slides

Centre for Computational Intelligence, N4 #B1a-02, Nanyang Avenue,

Presented by: Centre for Computational Intelligence. School of Computer Engineering. AN EVALUATION OF LOCAL IMAGE FEATURES FOR OBJECT CLASS RECOGNITION.

102 views • 1 slides