0000000001053150

AUTHOR

Saleh Mosaddegh

showing 7 related works from this author

Adapted processing of catadioptric images using polarization imaging

2009

A non parametric method that defines a pixel neighborhood within catadioptric images is presented in this paper. It is based on an accurate modeling of the mirror shape by using polarization imaging. Unlike the most of current processing methods in the literature, this method is non-parametric and can deal with the deformation of catadioptric images. This paper demonstrates how an appropriate neighborhood can be derived from the polarization parameters by estimation of the degree of polarization and the angle of polarization which in return directly provide an adapted neighborhood of each pixel that can be used to perform image derivation, edge detection, interest point detection and namely…

Pixelbusiness.industry010401 analytical chemistryNonparametric statistics[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]02 engineering and technologyImage planePolarization (waves)[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]01 natural sciencesEdge detection0104 chemical sciencesInterest point detectionCatadioptric system[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Computer Science::Computer Vision and Pattern Recognition0202 electrical engineering electronic engineering information engineeringDegree of polarization020201 artificial intelligence & image processingComputer visionArtificial intelligencebusinessComputingMilieux_MISCELLANEOUSMathematics
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Short baseline line matching for central imaging systems

2012

We develop a generic line matching method especially applicable to omnidirectional images taken from constructed scenes with short baseline motion where the motion of the imaging system between two views is mainly an arbitrary rotation and the translation of the camera between two views with respect to its distance to the imaged scene is negligible. We start by studying the relationship between images of lines on unitary sphere followed by proposing a simple algorithm for simultaneously matching vanishing points and lines. The developed algorithm is very simple, yet it works on images captured by all types of central imaging systems, including perspective, fish-eye and catadioptric images. …

Matching (graph theory)Computer sciencebusiness.industryPerspective (graphical)ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONTranslation (geometry)Real imageCatadioptric systemArtificial IntelligenceComputer Science::Computer Vision and Pattern RecognitionSignal ProcessingComputer visionComputer Vision and Pattern RecognitionArtificial intelligenceVanishing pointbusinessRotation (mathematics)SoftwarePattern Recognition Letters
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Motion estimation and reconstruction of piecewise planar scenes from two views

2010

The task of recovering the camera motion relative to the environment (motion estimation) is fundamental to many computer vision applications. We present an algorithm for reconstruction of piece-wise planar scenes from only two views and based on minimum line correspondences. We first recover camera rotation by matching vanishing points based on the methods already exist in the literature and then recover the camera translation by searching among a family of hypothesized planes passing through one line. Unlike algorithms based on line segments, the presented algorithm does not require an overlap between two line segments or more than one line correspondence across more than two views to reco…

business.industryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONIterative reconstructionTranslation (geometry)Real imageLine segmentMotion fieldComputer Science::Computer Vision and Pattern RecognitionMotion estimationLine (geometry)Computer visionArtificial intelligenceVanishing pointbusinessMathematics2010 25th International Conference of Image and Vision Computing New Zealand
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A Generic Method of Line Matching for Central Imaging Systems under Short-Baseline Motion

2009

Line matching across images taken by a central imaging system (perspective or catadioptric) with focus on short baseline motion of the system is proposed. The relationship between images of lines on unitary sphere is studied and a simple algorithm for matching lines are proposed assuming the rotation of the system is known apriori or it can be estimated from some correspondences in two views. Two methods are discussed for retrieving R in the case it is not known apriori. Experimental results on both synthetic and real images are also presented.

Matching (statistics)Computer sciencebusiness.industryEpipolar geometryReal imageGreat circleCatadioptric systemPerspective (geometry)Computer visionArtificial intelligencebusinessFocus (optics)Rotation (mathematics)Computer Science::Databases
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Line based motion estimation and reconstruction of piece-wise planar scenes

2011

We present an algorithm for reconstruction of piece-wise planar scenes from only two views and based on minimum line correspondences. We first recover camera rotation by matching vanishing points based on the methods already exist in the literature and then recover the camera translation by searching among a family of hypothesized planes passing through one line. Unlike algorithms based on line segments, the presented algorithm does not require an overlap between two line segments or more that one line correspondence across more than two views to recover the translation and achieves the goal by exploiting photometric constraints of the surface around the line. Experimental results on real i…

Computer sciencebusiness.industryLine segment intersectionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONIterative reconstructionTranslation (geometry)Real imageLine segmentMotion estimationLine (geometry)Computer visionArtificial intelligenceVanishing pointbusiness2011 IEEE Workshop on Applications of Computer Vision (WACV)
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Two View Line-Based Motion and Structure Estimation for Planar Scenes

2012

We present an algorithm for reconstruction of piece-wise planar scenes from only two views and based on minimum line correspondences. We first recover camera rotation by matching vanishing points based on the methods already exist in the literature and then recover the camera translation by searching among a family of hypothesized planes passing through one line. Unlike algorithms based on line segments, the presented algorithm does not require an overlap between two line segments or more that one line correspon- dence across more than two views to recover the translation and achieves the goal by exploiting photometric constraints of the surface around the line. Experimental results on real…

Surface (mathematics)Computer engineering. Computer hardwareMatching (graph theory)Line correspondenceComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologyVideo AnalysisTranslation (geometry)[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]TK7885-7895Motion[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Line segment0202 electrical engineering electronic engineering information engineeringComputer visionVanishing pointComputingMilieux_MISCELLANEOUSMathematicsTwo viewsbusiness.industryTracking[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]020207 software engineeringKeywordsQA75.5-76.953D and StereoReal imageElectronic computers. Computer scienceLine (geometry)Piece-wise planar scene020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionArtificial intelligencebusinessStructure and MotionRotation (mathematics)Software
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Line Segment Based Structure and Motion from Two Views: a Practical Issue

2011

International audience

[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV][ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]ComputingMilieux_MISCELLANEOUS
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