SIGGRAPH '86 Proceedings of the 13th annual conference on Computer graphics and interactive techniques
Automated Inspection of Textile Fabrics Using Textural Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Reflectance and texture of real-world surfaces
ACM Transactions on Graphics (TOG)
Illumination for computer generated pictures
Communications of the ACM
Realistic image synthesis using photon mapping
Realistic image synthesis using photon mapping
Dynamic 3-D Scene Analysis Through Synthesis Feedback Control
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Case against Accuracy Estimation for Comparing Induction Algorithms
ICML '98 Proceedings of the Fifteenth International Conference on Machine Learning
Structural Defects: General Approach and Application to Textile Inspection
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 1
Novelty detection: a review—part 1: statistical approaches
Signal Processing
Novelty detection: a review—part 2: neural network based approaches
Signal Processing
A Survey of Outlier Detection Methodologies
Artificial Intelligence Review
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
Fabric defect detection using modified local binary patterns
EURASIP Journal on Advances in Signal Processing
ACM Computing Surveys (CSUR)
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
An analysis-by-synthesis approach to rope condition monitoring
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part II
Shape-Based co-occurrence matrices for defect classification
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
Feature extraction and decision procedure for automated inspection of textured materials
Pattern Recognition Letters
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Automatic visual surface inspection is a challenging task, which has become important for quality assurance in the last years. Wire rope inspection is a special problem within this field. Usually, the huge and heavy ropes cannot be detached. Thus, an inspection of the ropes must be conducted, while the ropes are in use. The rope surface exhibits various appearance characteristics so that the existing, purely appearance-based approaches tend to fail. We explicitly integrate information about the object geometry, which we obtain by aligning a sequence of 2d rope images with a perfectly regular 3d model of the rope. The rendering equation is used to link object geometry to the observed rope appearance. Based on the connection between geometry and surface appearance we build a probabilistic appearance model which serves as representation for normal surface variations. A robust localization of rope surface defects is achieved by means of anomaly detection. The presented approach has no need for knowledge about the illumination setting or the reflectance properties of the material. An evaluation on real-world data from ropeways leads to an accuracy comparable to that of a human expert. With an accuracy of 95% and a false-alarm-rate of 1.5% the approach outperforms all other existing approaches.