Abstrait

Object Identification Based on Structured Light Reconstruction and CAD Based Matching

Ben Thomas, Prof. A. Jothilingam

The project presents 3D object identification using structured light technique. Object identification techniques look for specific set of cues in the image whose range of values will form a set. Though 2D object identification has numerous applications and is in practice for a long time, the capabilities are restricted to 2D feature set and anytime beyond that will demand multi-sensory information. 3D vision techniques provide volumetric information, shape profile and size with depth information. Structured light technique is one of the robust and highly suited methods for industrial applications such as inspection which doesn’t demand the controlled environment like stereo technique. The method uses a camera which records intensity images and a light projector which projects a strip of light on the scene. The object to be reconstructed to extract features of object recognition is placed in the conveyer since this method works more like a line scan camera in principle. The point of intersection of the camera and light source make the angle of triangulation which varies with depth of the object. After reconstructing the scene, the features of interest are extracted. After extracting the feature of the object the dimensional information is matched with the CAD model that is already imported from the CAD software. If it matches correctly then the components are sorted accordingly.