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Author
Patricia Marquez; Debora Gil; Aura Hernandez-Sabate; Daniel Kondermann
Title
When Is A Confidence Measure Good Enough?
Type
Conference Article
Year
2013
Publication
9th International Conference on Computer Vision Systems
Abbreviated Journal
Volume
7963
Issue
Pages
344-353
Keywords
Optical flow, confidence measure, performance evaluation
Abstract
Confidence estimation has recently become a hot topic in image processing and computer vision.Yet, several definitions exist of the term “confidence” which are sometimes used interchangeably. This is a position paper, in which we aim to give an overview on existing definitions,
thereby clarifying the meaning of the used terms to facilitate further research in this field. Based on these clarifications, we develop a theory to compare confidence measures with respect to their quality.
Address
St Petersburg; Russia; July 2013
Corporate Author
Thesis
Publisher
Springer Link
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
LNCS
Series Volume
Series Issue
Edition
ISSN
0302-9743
ISBN
978-3-642-39401-0
Medium
Area
Expedition
Conference
ICVS
Notes
IAM;ADAS; 600.044; 600.057; 600.060; 601.145
Approved
no
Call Number
IAM @ iam @ MGH2013a
Serial
2218
Permanent link to this record
Author
Patricia Marquez; Debora Gil; Aura Hernandez-Sabate
Title
Evaluation of the Capabilities of Confidence Measures for Assessing Optical Flow Quality
Type
Conference Article
Year
2013
Publication
ICCV Workshop on Computer Vision in Vehicle Technology: From Earth to Mars
Abbreviated Journal
Volume
Issue
Pages
624-631
Keywords
Abstract
Assessing Optical Flow (OF) quality is essential for its further use in reliable decision support systems. The absence of ground truth in such situations leads to the computation of OF Confidence Measures (CM) obtained from either input or output data. A fair comparison across the capabilities of the different CM for bounding OF error is required in order to choose the best OF-CM pair for discarding points where OF computation is not reliable. This paper presents a statistical probabilistic framework for assessing the quality of a given CM. Our quality measure is given in terms of the percentage of pixels whose OF error bound can not be determined by CM values. We also provide statistical tools for the computation of CM values that ensures a given accuracy of the flow field.
Address
Sydney; Australia; December 2013
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
ISBN
Medium
Area
Expedition
Conference
CVTT:E2M
Notes
IAM; ADAS; 600.044; 600.057; 601.145
Approved
no
Call Number
Admin @ si @ MGH2013b
Serial
2351
Permanent link to this record
Author
Patricia Marquez; Debora Gil; Aura Hernandez-Sabate
Title
A Confidence Measure for Assessing Optical Flow Accuracy in the Absence of Ground Truth
Type
Conference Article
Year
2011
Publication
IEEE International Conference on Computer Vision – Workshops
Abbreviated Journal
Volume
Issue
Pages
2042-2049
Keywords
IEEE International Conference on Computer Vision – Workshops
Abstract
Optical flow is a valuable tool for motion analysis in autonomous navigation systems. A reliable application requires determining the accuracy of the computed optical flow. This is a main challenge given the absence of ground truth in real world sequences. This paper introduces a measure of optical flow accuracy for Lucas-Kanade based flows in terms of the numerical stability of the data-term. We call this measure optical flow condition number. A statistical analysis over ground-truth data show a good statistical correlation between the condition number and optical flow error. Experiments on driving sequences illustrate its potential for autonomous navigation systems.
Address
Corporate Author
Thesis
Publisher
IEEE
Place of Publication
Barcelona (Spain)
Editor
Language
English
Summary Language
English
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
ISBN
Medium
Area
Expedition
Conference
ICCVW
Notes
IAM; ADAS
Approved
no
Call Number
IAM @ iam @ MGH2011
Serial
1682
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