Optics Letters · 2006 · 122 citations · 9 references
EngineeringShape AnalysisComputer-aided Design3D Computer VisionOccluded 3DImage AnalysisPattern RecognitionComputational ImagingVolumetric ReconstructionComputational GeometryRadiologyGeometric ModelingMachine VisionMedical ImagingComputer ScienceMedical Image ComputingIi Volumetric3D Object RecognitionComputational Integral ImagingComputer Vision3D VisionNatural SciencesObject RecognitionBiomedical Imaging3D ReconstructionShape ModelingImaging3D Imaging
We have proposed a method to recognize partially occluded three-dimensional (3D) objects by using 3D volumetric reconstruction integral imaging (II). An II system captures multiple perspectives of occluded objects by using a microlens array. The reconstruction of the occluded 3D scene and target recognition are done digitally to reduce the effects of the occlusion. To verify system performance, we have implemented an optimum filter for object recognition. Both two-dimensional (2D) images and 3D II volumetric reconstructed images are considered. The correlation results of occluded 3D images for volumetric reconstruction show substantial improvements compared with those for conventional 2D imaging of occluded images.
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