0000000000546707

AUTHOR

Carles Matabosch

showing 5 related works from this author

Corrigendum to “Registration of surfaces minimizing error propagation for a one-shot multi-slit hand-held scanner” [Pattern Recognition 41 (6) 2055–2…

2009

One shotScannerPropagation of uncertaintybusiness.industryComputer scienceHand heldPattern recognitionSlitArtificial IntelligenceSignal ProcessingPattern recognition (psychology)Computer visionComputer Vision and Pattern RecognitionArtificial intelligencebusinessSoftwarePattern Recognition
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Registration of Surfaces Minimizing Error Propagation for a One-Shot Multi-Slit Hand-Held Scanner

2008

We propose an algorithm for the on-line automatic registration of multiple 3D surfaces acquired in a sequence by a new hand-held laser scanner. The laser emitter is coupled with an optical lens that spreads the light forming 19 parallel slits that are projected to the scene and acquired with subpixel accuracy by a camera. Splines are used to interpolate the acquired profiles to increase the sample of points and Delaunay triangulation is used to obtain the normal vectors at every point. A point-to-plane pair-wise registration method is proposed to align the surfaces in pairs while they are acquired, conforming paths and eventually cycles that are minimized once detected. The algorithm is spe…

0209 industrial biotechnologyScannerLaser scanningComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technology[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]law.invention[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]020901 industrial engineering & automationArtificial Intelligencelaw0202 electrical engineering electronic engineering information engineeringComputer visionComputingMilieux_MISCELLANEOUSMathematicsCommon emitterPropagation of uncertaintyDelaunay triangulationbusiness.industry[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]LaserSubpixel renderingSpline (mathematics)Signal Processing020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionArtificial intelligencebusinessSoftware
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A refined range image registration technique for multi-stripe laser scanner

2006

Nowadays, visual inspection is very important in the quality control for many industrial applications. However, the complexity of most 3D objects constrains the registration of range images; a complete surface is required to compare the acquired surface to the model. Range finders are very used to digitalize free form shape objects with large resolutions. Moreover, one single view is not enough to reconstruct the whole surface due to occlusions, shadows, etc. In these situations, the motion between reconstructed partial views are required to integrate all surfaces in a single model. However, the use of positioning systems is not always available or adequate due mainly to the size of the obj…

Surface (mathematics)Visual inspectionRange (mathematics)Laser scanningComputer sciencebusiness.industryShadowImage registrationComputer visionArtificial intelligencebusinessMotion (physics)SPIE Proceedings
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Registration of moving surfaces by means of one-shot laser projection

2005

The acquisition of three-dimensional models of a given surface is a very interesting subject in computer vision. Most of techniques are based on the use of laser range finders coupled to a mechanical system that scans the surface. These techniques lacks of accuracy in the presence of vibrations or non-controlled surface motion because of the misalignments between the acquired images. In this paper, we propose a new one-shot pattern which benefits from the use of registration techniques to recover a whole surface in the presence of non-controlled motion.

Surface (mathematics)Computer sciencebusiness.industryLaser projectionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONMotion (geometry)Image processingLaserlaw.inventionlawPattern recognition (psychology)Computer visionArtificial intelligencebusinessComputingMethodologies_COMPUTERGRAPHICS
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A Review of Recent Range Image Registration Methods with Accuracy Evaluation

2007

International audience; The three-dimensional reconstruction of real objects is an important topic in computer vision. Most of the acquisition systems are limited to reconstruct a partial view of the object obtaining in blind areas and occlusions, while in most applications a full reconstruction is required. Many authors have proposed techniques to fuse 3D surfaces by determining the motion between the different views. The first problem is related to obtaining a rough registration when such motion is not available. The second one is focused on obtaining a fine registration from an initial approximation. In this paper, a survey of the most common techniques is presented. Furthermore, a sampl…

0209 industrial biotechnologyRegistrationComputer scienceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage registration02 engineering and technologycomputer.software_genre[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Motion (physics)020901 industrial engineering & automation0202 electrical engineering electronic engineering information engineeringRange imageComputer vision3D reconstructionComputingMilieux_MISCELLANEOUSbusiness.industry3D reconstruction[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Object (computer science)Sample (graphics)Range (mathematics)Signal ProcessingOutlier020201 artificial intelligence & image processingComputer visionComputer Vision and Pattern RecognitionNoise (video)Data miningArtificial intelligencebusinesscomputer
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