Image-based height measuring system
ISCGAV'07 Proceedings of the 7th WSEAS International Conference on Signal Processing, Computational Geometry & Artificial Vision
Range image recognition based on statistical multiresolution approach
TELE-INFO'05 Proceedings of the 4th WSEAS International Conference on Telecommunications and Informatics
An Adaptive Technique for Accurate Feature Extraction from Regular and Irregular Image Data
ICIAP '09 Proceedings of the 15th International Conference on Image Analysis and Processing
Object Detection and Localization in Clutter Range Images Using Edge Features
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
Gradient operators for feature extraction and characterisation in range images
Pattern Recognition Letters
Towards 3D object recognition for universal goods in logistic
ECS'10/ECCTD'10/ECCOM'10/ECCS'10 Proceedings of the European conference of systems, and European conference of circuits technology and devices, and European conference of communications, and European conference on Computer science
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We present a framework for edge detection in range images acquired by a time of flight laser sensor. Our edge detection approach is inspired by [Edge Detection in Range Images Based on Scan Line Approximation], in the context of which edge detection via scan line approximation with geometric parametric models is performed. The main drawback of this edge detector, namely the scan line over-segmentation problem is addressed by the introduction of a simple merging step. In addition, we incorporate a method for detection of the noisy data points created by the effect of laser beam splitting between surfaces of different ranges. Finally, a procedure for fine localization of the edge points is introduced. Experimental results on a variety of target object configurations demonstrate that our edge detection framework exhibits increased robustness and accuracy with regard to [Edge Detection in Range Images Based on Scan Line Approximation]. These characteristics in combination with the computational efficiency of our approach, allows for its usage as a component of a real time system for automatic unloading of piled box-like objects.