Scale-invariant feature transform

Results: 277



#Item
41Template matching / Object recognition / Corner detection / Feature / Sina.com / Scale-invariant feature transform / Part-based models / Computer vision / Image processing / Artificial intelligence

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

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Source URL: www.lira.dist.unige.it

Language: English - Date: 2011-11-16 11:15:08
42Mathematical analysis / Vision / Scale space / Difference of Gaussians / Scale-invariant feature transform / Laplace operator / Scale invariance / Corner detection / Invariant / Computer vision / Image processing / Imaging

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

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Source URL: www.lira.dist.unige.it

Language: English - Date: 2011-11-16 11:15:03
43Computer vision / Identification / Artificial intelligence / Surveillance / Scale-invariant feature transform / Fingerprint Verification Competition / Fingerprint / Iris recognition / Statistical classification / Biometrics / Fingerprints / Security

El-Abed et al. EURASIP Journal on Image and Video Processing:3 DOIs13640RESEARCH Open Access

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Source URL: jivp.eurasipjournals.com

Language: English
44Optics / Scale-invariant feature transform / Photogrammetry / Structure from motion / Correspondence problem / Photosynth / Rendering / Computer vision / Imaging / Vision

INVITED PAPER Scene Reconstruction and Visualization From Community Photo Collections

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Source URL: www.cs.cornell.edu

Language: English - Date: 2011-01-01 00:23:54
45Artificial intelligence / Object recognition / Invariant / Pattern / Scale-invariant feature transform / Computer vision / Vision / Optics

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

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Source URL: ceur-ws.org

Language: English - Date: 2012-08-08 22:04:28
46Vision / Bundle adjustment / Nearest neighbor search / Pose / Scale-invariant feature transform / Object recognition / Computer vision / Information science / Artificial intelligence

Location Recognition using Prioritized Feature Matching Yunpeng Li Noah Snavely

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Source URL: www.cs.cornell.edu

Language: English - Date: 2010-09-03 21:24:03
47Optics / Image processing / Object recognition / Template matching / Shape context / LabelMe / Segmentation / Optical flow / Scale-invariant feature transform / Computer vision / Vision / Imaging

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

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Source URL: people.csail.mit.edu

Language: English - Date: 2009-04-02 17:34:24
48Vision / Optics / Scale-invariant feature transform / Scale space / Object recognition / Feature detection / Gaussian function / Corner detection / Scale invariance / Computer vision / Image processing / Imaging

Distinctive Image Features from Scale-Invariant Keypoints David G. Lowe Computer Science Department University of British Columbia Vancouver, B.C., Canada

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Source URL: www.lira.dist.unige.it

Language: English - Date: 2011-10-07 12:42:52
49Vision / Bundle adjustment / Nearest neighbor search / Pose / Scale-invariant feature transform / Object recognition / Computer vision / Information science / Artificial intelligence

Location Recognition using Prioritized Feature Matching Yunpeng Li Noah Snavely

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Source URL: www.cs.cornell.edu

Language: English - Date: 2012-04-26 21:11:52
50Imaging / Pose / Structure from motion / RANSAC / Camera / Scale-invariant feature transform / 3D Reconstruction from multiple images / Computer vision / Vision / Optics

Semantic Structure from Motion Paper by: Sid Yingze Bao and Silvio Savarese Presentation by: Ian Lenz Inferring 3D

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Source URL: www.cs.cornell.edu

Language: English - Date: 2011-09-25 15:59:09
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