Exploiting Photogrammetric Targets for Industrial AR

In this work, we encourage the idea of using Photogrammetric targets for object tracking in Industrial Augmented Reality (IAR). Photogrammetric targets, especially uncoded circular targets, are widely used in the industry to perform 3D surface measurements. Therefore, an AR solution based on the uncoded circular targets can improve the work flow integration by reusing existing targets and saving time. These circular targets do not have coded patterns to establish unique 2D-3D correspondences between the targets on the model and their image projections. We solve this particular problem of 2D-3D correspondence of non-coplanar circular targets from a single image. We introduce a Conic pair descriptor, which computes the Eucledian invariants from circular targets in the model space and in the image space. A three stage method is used to compare the descriptors and compute the correspondences with up to 100% precision and 89% recall rates. We are able to achieve tracking performance of 3 FPS (2560x1920 pix) to 8 FPS (640x480 pix) depending on the camera resolution and the targets present in the scene

Frustration Free Pose Computation For Spatial AR Devices in Industrial Scenario

The quest for finding the killer application for Industrial Augmented Reality(IAR) is still active. The existing solutions are ingenious but most can not be directly integrated with the existing industrial workflows. Generally, IAR applications require modifications in the industrial workflows depending on the tracking methodology. These modifications end up being an overhead for the users and deter them from using AR solutions. In this poster we propose a resourceful solution to achieve end-to-end workflow integration with minimum effort from the user end. The solution is suited for laser guided Spatial Augmented Reality(SAR) systems mainly preferred for industrial manufacturing applications. We also introduce a new concept for pose computation, which is inspired from existing mechanical concept of part alignment. The accuracy of our method is comparable to the classical marker based methods. The complete process of pose computation, from initialisation to refinement, is designed to be plug and play