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Scale-invariant feature transform
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41	Problems with template matching • The template represents the object as we expect to find it in the image • The object can indeed be scaled or rotated • This technique requires a separate template for each scale an Add to Reading List Source URL: www.lira.dist.unige.it Language: English - Date: 2011-11-16 11:15:08 Template matching Object recognition Corner detection Feature Sina.com Scale-invariant feature transform Part-based models Computer vision Image processing Artificial intelligence
42	Key properties of local features • Locality, robust against occlusions • Must be highly distinctive, a good feature should allow for correct object identification with low probability of mismatch • Easy to extract Add to Reading List Source URL: www.lira.dist.unige.it Language: English - Date: 2011-11-16 11:15:03 Mathematical analysis Vision Scale space Difference of Gaussians Scale-invariant feature transform Laplace operator Scale invariance Corner detection Invariant Computer vision Image processing Imaging
43	El-Abed et al. EURASIP Journal on Image and Video Processing:3 DOIs13640RESEARCH Open Access Add to Reading List Source URL: jivp.eurasipjournals.com Language: English Computer vision Identification Artificial intelligence Surveillance Scale-invariant feature transform Fingerprint Verification Competition Fingerprint Iris recognition Statistical classification Biometrics Fingerprints Security
44	INVITED PAPER Scene Reconstruction and Visualization From Community Photo Collections Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2011-01-01 00:23:54 Optics Scale-invariant feature transform Photogrammetry Structure from motion Correspondence problem Photosynth Rendering Computer vision Imaging Vision
45	39 From Pattern Recognition to Place Identification Sven Eberhardt, Tobias Kluth, Christoph Zetzsche, and Kerstin Schill Cognitive Neuroinformatics, University of Bremen, Enrique-Schmidt-Straße 5, 28359 Bremen, Germany Add to Reading List Source URL: ceur-ws.org Language: English - Date: 2012-08-08 22:04:28 Artificial intelligence Object recognition Invariant Pattern Scale-invariant feature transform Computer vision Vision Optics
46	Location Recognition using Prioritized Feature Matching Yunpeng Li Noah Snavely Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2010-09-03 21:24:03 Vision Bundle adjustment Nearest neighbor search Pose Scale-invariant feature transform Object recognition Computer vision Information science Artificial intelligence
47	Nonparametric Scene Parsing: Label Transfer via Dense Scene Alignment Ce Liu Jenny Yuen Antonio Torralba Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology {celiu,jenny,torralb Add to Reading List Source URL: people.csail.mit.edu Language: English - Date: 2009-04-02 17:34:24 Optics Image processing Object recognition Template matching Shape context LabelMe Segmentation Optical flow Scale-invariant feature transform Computer vision Vision Imaging
48	Distinctive Image Features from Scale-Invariant Keypoints David G. Lowe Computer Science Department University of British Columbia Vancouver, B.C., Canada Add to Reading List Source URL: www.lira.dist.unige.it Language: English - Date: 2011-10-07 12:42:52 Vision Optics Scale-invariant feature transform Scale space Object recognition Feature detection Gaussian function Corner detection Scale invariance Computer vision Image processing Imaging
49	Location Recognition using Prioritized Feature Matching Yunpeng Li Noah Snavely Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2012-04-26 21:11:52 Vision Bundle adjustment Nearest neighbor search Pose Scale-invariant feature transform Object recognition Computer vision Information science Artificial intelligence
50	Semantic Structure from Motion Paper by: Sid Yingze Bao and Silvio Savarese Presentation by: Ian Lenz Inferring 3D Add to Reading List Source URL: www.cs.cornell.edu Language: English - Date: 2011-09-25 15:59:09 Imaging Pose Structure from motion RANSAC Camera Scale-invariant feature transform 3D Reconstruction from multiple images Computer vision Vision Optics