An objective comparison methodology of edge detection algorithms using a structure from motion task

This paper presents a task-oriented evaluation methodology for edge detectors. Performance is measured based on the task of structure from motion. Eighteen real image sequences from 2 different scenes varying in the complexity and scenery types are used. The task-level ground truth for each image se...

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Bibliographic Details
Published inProceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231) pp. 190 - 195
Main Authors Shin, M.C., Goldgof, D., Bowyer, K.W.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1998
Subjects
Computer science
Computer vision
Delay
Detectors
Image edge detection
Image sequences
Layout
Motion detection
Motion measurement
Testing
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Summary:This paper presents a task-oriented evaluation methodology for edge detectors. Performance is measured based on the task of structure from motion. Eighteen real image sequences from 2 different scenes varying in the complexity and scenery types are used. The task-level ground truth for each image sequence is manually specified in terms of the 3D motion and structure. An automated tool computes the accuracy of the motion and structure achieved using the set of edge maps. Parameter sensitivity and execution speed are also analyzed. Four edge detectors are compared. All implementations and data sets are publicly available.
ISBN:0818684976
9780818684975
ISSN:1063-6919
DOI:10.1109/CVPR.1998.698608