Structured light 3D free form recovering with sub-pixel precision

• Autorzy: Ababsa F. , Roussel D. , Mallem M.
• Języki publikacji: EN

Abstrakty

EN

This paper deals with the 3D Free form object pose recovering problem that is present in several industrial applications, such as online quality control in production as well as image systems for assembly/welding, augmented reality and robotics. The method presented here uses a structured light based vision system to reconstruct several accurate local 3D patches of the objects. A robust sub-pixel method for image features detection has been developed in order to increase 3D reconstruction accuracy. The curvature method is then used to compute a geometric invariant "footprint" to discriminate reconstructed patches, which allows to match them with the object's model. Pose recovering is performed by using the prediction-verification hypotheses paradigm. Some experimental results are given to show the efficiency of the proposed solution when applied to a complex free form object.

Słowa kluczowe

EN

free form object; structured light; sub-pixel detection; 3D recovery; matching; geometric invariant; recognition by indexation

• Wydawca: Institute of Information Technology of the Warsaw University of Life Sciences – SGGW
• Czasopismo: Machine Graphics and Vision
• Rocznik: 2003
• Tom: Vol. 12, No. 4
• Strony: 453--476
• Opis fizyczny: Bibliogr. 23 poz., rys., tab.

Twórcy

autor

Ababsa F.

• Laboratoire des Systemes Complexes, CNRS FRE 2494, 40, rue du Pelvoux, CE1455 - Courouronnes, 91020 Evry Cedex, France

autor

Roussel D.

• Laboratoire des Systemes Complexes, CNRS FRE 2494, 40, rue du Pelvoux, CE1455 - Courouronnes, 91020 Evry Cedex, France

autor

Mallem M.

• Laboratoire des Systemes Complexes, CNRS FRE 2494, 40, rue du Pelvoux, CE1455 - Courouronnes, 91020 Evry Cedex, France

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