This project aims a real-time detection of two dimensional deformable patterns for industrial inspection. The fast, robust and accurate localization of a given 2D object template in images has been a research topic since many decades. The results of this research efforts has enabled numerous different industrial applications, as the detection of the objects pose is the natural prerequisite for any senseful operation like counting, defect detection or pick and place operations. In case that the object to be localized is rigid or articulated, different successful approaches have been proposed and are applied in everyday industrial practice. Various applications domains, which necessitate the detection of deformable objects, like medical, packaging, textile or paper industry, can still not be comprehensively solved. The goal of current research is the development of a method which is fast, robust to illumination changes, occlusion and clutter plus allows the objects shape to deform.
||This video shows preliminary results of the deformable pattern matching algorithm that is developed in this project. It is important to note that neither spatial nor temporal coherence is used. The object is found despite partial occlusion, clutter, nonlinear illumination changes and shape deformation. Also significant noise and motion blur does not defeat the method.|
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for available student projects within this research project.