HYPER: A New Approach for the Recognition and Positioning of Two-Dimensional Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
Three-dimensional object recognition from single two-dimensional images
Artificial Intelligence
Fitting Parameterized Three-Dimensional Models to Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Visual learning and recognition of 3-D objects from appearance
International Journal of Computer Vision
Distance Metric Between 3D Models and 2D Images for Recognition and Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
A fully projective formulation to improve the accuracy of Lowe's pose-estimation algorithm
Computer Vision and Image Understanding
A Vision Driven Automatic Assembly Unit
CAIP '99 Proceedings of the 8th International Conference on Computer Analysis of Images and Patterns
Fast and automatic object pose estimation for range images on the GPU
Machine Vision and Applications - Integrated Imaging and Vision Techniques for Industrial Inspection
Pose estimation of randomly organized stator housings
SCIA'05 Proceedings of the 14th Scandinavian conference on Image Analysis
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In this contribution a vision system for the flexible assembling of industrial parts is presented. A new three step approach is described. It consists of three independent vision guided modules. The picking module allows to pick objects from an unorganized heap or out of a bin, the pose determination module delivers the exact position of the isolated object and the surveillance module allows to verify the success of mounting the parts. This allows all the system stages to consist of standard components, while ensuring a high degree of flexibility, adaptability and robustness. Successfull results achieved with a prototype system implemented at our industrial cooperating partner are presented.