Towards the recognition of 3D free-form objects

In this work, a method for automated control based on association of complex surfaces to a cloud points using the Iterative Closest Point (I.C.P.) algorithm for alignment stage

Illustration of the greater stability of Factor Quality Detector (FQD) vs Shape Index Detector (SID , by positions of detected keypoints (shown with green arrows) for two

2.1 Creating a virtual model by 3D contactless scanning method and its physical prototype by 3D printing technology.. The contactless scanning method has been selected for

In this paper we formulate the optimisation layout problem of 3D-objects into a container taking into account placement (non-overlapping, containment, distance) and

The standard ICP starts with two point clouds and an initial guess for their relative rigid-body transform, and iteratively refines the trans- form by repeatedly generating pairs

In this paper, we present the first variant of the ICP which ac- counts for anisotropic localization uncertainty in both steps of the algo- rithm and show that in the presence

Instead of trying to use one known light source and convert the reflected color intensity back into intrinsic color, the second approach aims at using a nearly constant, diffuse

This part of the problem is more crucial as the color components delivered by scanners express the reflected color intensity of the object and not its intrinsic color as required