6533b829fe1ef96bd128aed5
RESEARCH PRODUCT
Three-dimensional object-distortion-tolerant recognition for integral imaging using independent component analysis
Bahram JavidiRaúl Martínez-cuencaCuong Manh Dosubject
Integral imagingMultivariate statisticsbusiness.industryComputer scienceImage processingPattern recognitionObject (computer science)Independent component analysisAtomic and Molecular Physics and OpticsElectronic Optical and Magnetic MaterialsComputingMethodologies_PATTERNRECOGNITIONOpticsThree dimensional imagingDistortionPattern recognition (psychology)Computer Vision and Pattern RecognitionArtificial intelligencebusinessdescription
Independent component analysis (ICA) aims at extracting unknown components from multivariate data assuming that the underlying components are mutually independent. This technique has been successfully applied to the recognition and classification of objects. We present a method that combines the benefits of ICA and the ability of the integral imaging technique to obtain 3D information for the recognition of 3D objects with different orientations. Our recognition is also possible when the 3D objects are partially occluded by intermediate objects.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2009-02-03 | Journal of the Optical Society of America A |