Numerical recipes in C (2nd ed.): the art of scientific computing
Numerical recipes in C (2nd ed.): the art of scientific computing
IEEE Transactions on Pattern Analysis and Machine Intelligence
A survey of advances in vision-based human motion capture and analysis
Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
An Analysis-by-Synthesis Approach to Tracking of Textiles
WMVC '07 Proceedings of the IEEE Workshop on Motion and Video Computing
HMM-Based Defect Localization in Wire Ropes --- A New Approach to Unusual Subsequence Recognition
Proceedings of the 31st DAGM Symposium on Pattern Recognition
Adaptable model-based tracking using analysis-by-synthesis techniques
CAIP'07 Proceedings of the 12th international conference on Computer analysis of images and patterns
An analysis-by-synthesis camera tracking approach based on free-form surfaces
Proceedings of the 29th DAGM conference on Pattern recognition
Combining structure and appearance for anomaly detection in wire ropes
CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part II
Enhanced anomaly detection in wire ropes by combining structure and appearance
Pattern Recognition Letters
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A regular rope quality inspection is compulsory for wire ropes in security-relevant applications. Principal procedures of such quality checks are the visual inspection for surface defect detection, the magnetic inspection for a localization of broken wires and the measurement of the rope diameter. However, until today it is hardly possible for the human inspector to measure other important rope characteristics as the lay length of wires and strands over time. To close this gap, we present a model-based approach for rope parameter estimation. The usage of a theoretically correct and regular 3d rope, embedded in an analysis-by synthesis framework, allows a purely image-based monitoring of important rope parameters. Beyond that, also a quantification of the degree of abnormality becomes possible. Our evaluation on real-world and synthetic reference data demonstrates that the approach allows a measurement of the individual lay lengths of wires and strands up to an accuracy more precise than 1 mm.