Search results for "catadioptric"

showing 10 items of 12 documents

Rotation estimation and vanishing point extraction by omnidirectional vision in urban environment

2012

International audience; Rotation estimation is a fundamental step for various robotic applications such as automatic control of ground/aerial vehicles, motion estimation and 3D reconstruction. However it is now well established that traditional navigation equipments, such as global positioning systems (GPSs) or inertial measurement units (IMUs), suffer from several disadvantages. Hence, some vision-based works have been proposed recently. Whereas interesting results can be obtained, the existing methods have non-negligible limitations such as a difficult feature matching (e.g. repeated textures, blur or illumination changes) and a high computational cost (e.g. analyze in the frequency domai…

0209 industrial biotechnologyAutomatic controlComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologyTranslation (geometry)020901 industrial engineering & automationOrthogonalityomnidirectional visionArtificial IntelligenceMotion estimation11. Sustainability0202 electrical engineering electronic engineering information engineering[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]Computer visionElectrical and Electronic EngineeringVanishing pointrotation estimationMathematicsbusiness.industryApplied MathematicsMechanical EngineeringPerspective (graphical)3D reconstruction[ INFO.INFO-RB ] Computer Science [cs]/Robotics [cs.RO]vanishing pointscatadioptric visionModeling and Simulation020201 artificial intelligence & image processingArtificial intelligencebusinessparallel linesRotation (mathematics)Software
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Visual contact with catadioptric cameras

2015

Abstract Time to contact or time to collision (TTC) is utmost important information for animals as well as for mobile robots because it enables them to avoid obstacles; it is a convenient way to analyze the surrounding environment. The problem of TTC estimation is largely discussed in perspective images. Although a lot of works have shown the interest of omnidirectional camera for robotic applications such as localization, motion, monitoring, few works use omnidirectional images to compute the TTC. In this paper, we show that TTC can be also estimated on catadioptric images. We present two approaches for TTC estimation using directly or indirectly the optical flow based on de-rotation strat…

0209 industrial biotechnologyComputer scienceGeneral MathematicsComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONOptical flow02 engineering and technologyCatadioptric system020901 industrial engineering & automationOmnidirectional cameraDepth map0202 electrical engineering electronic engineering information engineering[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]Computer visionComputingMilieux_MISCELLANEOUSPixelbusiness.industryPerspective (graphical)[ INFO.INFO-RB ] Computer Science [cs]/Robotics [cs.RO]Mobile robotReal imageComputer Science ApplicationsControl and Systems EngineeringObstacle020201 artificial intelligence & image processingArtificial intelligencebusinessSoftware
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Central catadioptric image processing with geodesic metric

2011

International audience; Because of the distortions produced by the insertion of a mirror, catadioptric images cannot be processed similarly to classical perspective images. Now, although the equivalence between such images and spherical images is well known, the use of spherical harmonic analysis often leads to image processing methods which are more difficult to implement. In this paper, we propose to define catadioptric image processing from the geodesic metric on the unitary sphere. We show that this definition allows to adapt very simply classical image processing methods. We focus more particularly on image gradient estimation, interest point detection, and matching. More generally, th…

0209 industrial biotechnologyGeodesicComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONImage processing02 engineering and technologyCatadioptric system020901 industrial engineering & automation0202 electrical engineering electronic engineering information engineering[INFO.INFO-RB]Computer Science [cs]/Robotics [cs.RO]Computer visionImage gradientFeature detection (computer vision)MathematicsCatadioptric imagebusiness.industry[ INFO.INFO-RB ] Computer Science [cs]/Robotics [cs.RO]Spherical imageimage processingInterest point detectionEuclidean distancespherical image * Corresponding author Tel : +33-385-731-128Computer Science::Computer Vision and Pattern RecognitionSignal ProcessingMetric (mathematics)020201 artificial intelligence & image processingComputer Vision and Pattern RecognitionArtificial intelligencebusiness
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Fast Earth Mover's Distance Computation for Catadioptric Image Sequences

2016

International audience; Earth mover's distance is one of the most effective metric for comparing histograms in various image retrieval applications. The main drawback is its computational complexity which hinders its usage in various comparison tasks. We propose fast earth mover's distance computation by providing better initialization to the transportation simplex algorithm. The new approach enables faster EMD computation in Visual Memory (VM) compared to the state of the art methods. The new proposed strategy computes earth mover distance without compromising its accuracy.

0209 industrial biotechnologyMoments[ INFO ] Computer Science [cs]Computational complexity theory[SPI] Engineering Sciences [physics]VisionComputationComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONInitialization02 engineering and technology[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing[INFO] Computer Science [cs]Catadioptric system[SPI]Engineering Sciences [physics]020901 industrial engineering & automationEarth Mover's DistanceSimplex algorithmVisual servoing0202 electrical engineering electronic engineering information engineering[ SPI ] Engineering Sciences [physics]Computer vision[INFO]Computer Science [cs]Image retrieval[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingMathematicsbusiness.industry[SPI.TRON] Engineering Sciences [physics]/Electronics[SPI.TRON]Engineering Sciences [physics]/Electronics[ SPI.TRON ] Engineering Sciences [physics]/ElectronicsVisual MemoryLocalizationMetric (mathematics)020201 artificial intelligence & image processingArtificial intelligencebusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingEarth mover's distance
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Gradient-based time to contact on paracatadioptric camera

2013

International audience; The problem of time to contact or time to collision (TTC) estimation is largely discussed in perspective images. However, a few works have dealt with images of catadioptric sensors despite of their utility in robotics applications. The objective of this paper is to develop a novel model for estimating TTC with catadioptric images relative to a planar surface, and to demonstrate that TTC can be estimated only with derivative brightness and image coordinates. This model, called "gradient based time to contact", does not need high processing such as explicit estimation of optical flow and feature detection/or tracking. The proposed method allows to estimate TTC and give…

0209 industrial biotechnology[ INFO.INFO-TS ] Computer Science [cs]/Signal and Image Processing[INFO.INFO-TS] Computer Science [cs]/Signal and Image ProcessingComputer sciencemobile roboticComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONOptical flowTime to contactmobile robotic.[ SPI.SIGNAL ] Engineering Sciences [physics]/Signal and Image processing02 engineering and technologyobstacle avoidanceCatadioptric system020901 industrial engineering & automation[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processingomnidirectional visionObstacle avoidance0202 electrical engineering electronic engineering information engineeringcollision detectionCollision detectionComputer visionImage sensor[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processingFeature detection (computer vision)Orientation (computer vision)business.industryPerspective (graphical)Mobile robot020201 artificial intelligence & image processingArtificial intelligencebusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing2013 IEEE International Conference on Image Processing
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Tracking Moving Objects With a Catadioptric Sensor Using Particle Filter

2011

International audience; Visual tracking in video sequences is a widely developed topic in computer vision applications. However, the emergence of panoramic vision using catadioptric sensors has created the need for new approaches in order to track an object in this type of images. Indeed the non-linear resolution and the geometric distortions due to the insertion of the mirror, make tracking in catadioptric images a very challenging task. This paper describes particle filter for tracking moving object over time using a catadioptric sensor. In this work different problems due to the specificities of the catadioptric systems such as geometry are considered. The obtained results demonstrate an…

0209 industrial biotechnologybusiness.industryComputer scienceparticle filtersComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION[INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]02 engineering and technologycatadioptric cameravisual tracking[ INFO.INFO-CV ] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Catadioptric system020901 industrial engineering & automation[INFO.INFO-CV] Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV]Robustness (computer science)Video tracking0202 electrical engineering electronic engineering information engineeringClutterCatadioptric sensor020201 artificial intelligence & image processingComputer visionArtificial intelligenceImage sensorParticle filterbusinessImage resolution
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Attitude estimation from polarimetric cameras

2018

International audience; In the robotic field, navigation and path planning applications benefit from a wide range of visual systems (e.g. perspective cameras, depth cameras, catadioptric cameras, etc.). In outdoor conditions, these systems capture information in which sky regions cover a major segment of the images acquired. However, sky regions are discarded and are not considered as visual cue in vision applications. In this paper, we propose to estimate attitude of Unmanned Aerial Vehicle (UAV) from sky information using a polarimetric camera. Theoretically , we provide a framework estimating the attitude from the skylight polarized patterns. We showcase this formulation on both simulate…

Cover (telecommunications)Computer sciencebusiness.industrymedia_common.quotation_subject020208 electrical & electronic engineeringPerspective (graphical)PolarimetryComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION02 engineering and technologySkylightField (computer science)[SPI.AUTO]Engineering Sciences [physics]/AutomaticCatadioptric system[SPI.AUTO] Engineering Sciences [physics]/AutomaticSky0202 electrical engineering electronic engineering information engineering020201 artificial intelligence & image processingComputer visionArtificial intelligenceMotion planningbusiness[SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processingmedia_common[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing
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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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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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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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