RANSAC

Results: 140



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111Computer vision / Perception / RANSAC / Hough transform / Grouping / Principles of grouping / Line / Symmetry / Statistics / Geometry / Mind

Announcements • Quiz on Tuesday, March 10. • Material covered (Union not Intersection) – All lectures before today (March 3). – Forsyth and Ponce Readings: • Chapters 1.1, 4, 5.1, 5.2, 5.3, 7,8, 9.1, 9.2, 9.3,

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Source URL: www.cs.umd.edu

Language: English - Date: 2003-03-04 09:52:10
112Geometry / Image processing / RANSAC / Affine transformation / JPEG / Scale-invariant feature transform / 3D single object recognition / Computer vision / Statistics / Vision

Problem Set 6 CMSC 426 Assigned April 8, 2010 Due April 22, 2010 Mosaics The goal of this problem set is to write code to form a mosaic of two images. We begin

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Source URL: www.cs.umd.edu

Language: English - Date: 2010-04-08 17:25:01
113Normal distribution / Hough transform / Multivariate statistics / Estimation theory / Gaussian function / Graham scan / Statistics / Computer vision / RANSAC

Problem Set 3 CMSC 426 Due: Thursday, April 3 Overview: This problem set will work a little different. There will be a standard part, and an advanced part. Students may choose to do either part. Alternately, they may cho

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Source URL: www.cs.umd.edu

Language: English - Date: 2003-03-18 11:02:20
114Vision / Statistics / Epipolar geometry / Hough transform / RANSAC / Segmentation / Perspective / Edge detection / Image gradient / Image processing / Computer vision / Imaging

Review for Final CMSC 426 – Spring 2004 Geometry of Projection Perspective: The key to perspective projection is that the scene point, the image point, and the focal point are all collinear, while at the same time

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Source URL: www.cs.umd.edu

Language: English - Date: 2004-05-06 09:14:52
115Normal distribution / Variance / Multivariate statistics / Computer vision / Gaussian function / Graham scan / Statistics / RANSAC / Data analysis

Problem Set 3 CMSC 426 Due: Thursday, April 3 Overview: This problem set will work a little different. There will be a standard part, and an advanced part. Students may choose to do either part. Alternately, they may

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Source URL: www.cs.umd.edu

Language: English - Date: 2003-03-18 10:59:34
116Concurrent computing / Concurrency / Concurrency control / Thread / Barrier / Lock / RANSAC / Algorithm / Concurrent data structure / Computing / Parallel computing / Computer programming

Solving the straggler problem with bounded staleness James Cipar, Qirong Ho, Jin Kyu Kim, Seunghak Lee, Gregory R. Ganger, Garth Gibson, Kimberly Keeton*, Eric Xing Carnegie Mellon University, *HP Labs Algorithm

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Source URL: www.pdl.cmu.edu

Language: English - Date: 2013-06-24 12:52:44
117RANSAC / Algebraic graph theory / Singular value decomposition / Graph theory / Graph partition / Spectral clustering / Adjacency matrix / Eigenvalues and eigenvectors / Segmentation / Mathematics / Algebra / Statistics

Single-Cluster Spectral Graph Partitioning for Robotics Applications Edwin Olson, Matthew Walter, Seth Teller, and John Leonard Computer Graphics and Robotics Group Massachusetts Institute of Technology 32 Vassar Street,

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Source URL: people.csail.mit.edu

Language: English - Date: 2007-09-17 15:27:28
118Data analysis / Outlier / RANSAC / Seasonal adjustment / Seasonality / Statistical theory / Statistics / Robust statistics / Time series analysis

Comparison of Methods Accounting for Outliers during Seasonal Adjustment

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Source URL: epp.eurostat.ec.europa.eu

Language: English
119Data mining / Outlier / RANSAC / Lapis / Cluster analysis / Text editor / Sam / Selection / Statistics / Data analysis / Robust statistics

Outlier Finding: Focusing User Attention on Possible Errors Robert C. Miller and Brad A. Myers School of Computer Science Carnegie Mellon University 5000 Forbes Ave Pittsburgh, PA[removed]USA

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Source URL: groups.csail.mit.edu

Language: English - Date: 2005-04-23 09:41:56
120Consensus / Data / Parallel computing / Communications protocol / RANSAC / Advanced Configuration and Power Interface / Cellular neural network / Computing / Statistics / Fault-tolerant computer systems

Tight Bounds for k-Set Agreement Soma Chaudhuri∗ Maurice Herlihy† Nancy A. Lynch‡

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Source URL: www.markrtuttle.com

Language: English - Date: 2007-04-26 00:00:00
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